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• External validation of ECG artificial intelligence for emergency and cardiac assessment across a large-scale U.S. healthcare system
  An ECG-based artificial intelligence (AI) model was previously developed to generate ten digital biomarkers for emergency and cardiac assessment and is currently deployed in clinical practice in Korea (ECG Buddy, ARPI Inc.). Its external validity within U.S. h…
  openalex Haemin Lee, Yerin Kim, Daniel Sykora, Alexander J. Ryu 等 2026-04-28 置信度 0.72 MedicineCohortReceiver operating characteristicProspective cohort studyEmergency medicine
• Heat for Healing: A Review of Infrared Thermography in Medical Diagnostics and Therapy
  Infrared thermography (IRT) is an emerging noninvasive imaging modality that provides real-time, contactless assessment of skin surface temperature, reflecting underlying vascular perfusion. This narrative review explores the principles, clinical utility, adva…
  openalex Bitesh Kumar, Vishesh Jain, Devendra Kumar Yadav, Anjan Kumar Dhua 等 2026-01-01 置信度 0.72 ThermographyMedicineModality (human–computer interaction)Clinical PracticePeripheral vessels
• Assessing complexity of educational texts of Russian as a foreign language: Prospects and challenges of using artificial intelligence
  The growing interest in Russian education, culture, and science results in the pressing demand for tools to select educational texts for Russian as a foreign language. The study is aimed at working out the algorithm and instruments for assessing the lexical co…
  openalex Marina I. Solnyshkina, Mariia I. Andreeva 2026-03-28 置信度 0.72 Foreign languageComputer scienceTest (biology)Natural language processingLinguistics
• Retracted March 6, 2026: Study on Machine Translation Teaching Model Based on Translation Parallel Corpus and Exploitation for Multimedia Asian Information Processing
  Text in one language can be mechanically translated into another language using machine translation (MT). It is possible to anticipate a sequence of words, generally modeling full sentences using machine translation in a single integrated model. Human language…
  openalex Yan Gong 2022-11-07 置信度 0.72 Machine translationComputer scienceArtificial intelligenceNatural language processingRule-based machine translation
• How the COVID-19 pandemic will change the future of critical care
  Coronavirus disease 19 (COVID-19) has posed unprecedented healthcare system challenges, some of which will lead to transformative change. It is obvious to healthcare workers and policymakers alike that an effective critical care surge response must be nested w…
  openalex Yaseen M. Arabi, Élie Azoulay, Hasan M. Al‐Dorzi, Jason Phua 等 2021-02-22 置信度 0.72 MedicineHealth carePandemicPreparednessPersonal protective equipment
• Brain aging patterns in a large and diverse cohort of 49,482 individuals
  openalex Zhijian Yang, Junhao Wen, Güray Erus, Sindhuja Tirumalai Govindarajan 等 2024-08-15 置信度 0.72 Brain agingCohortAtrophyNeuroimagingPopulation
• Symbiotic intelligence in dental trauma diagnostics—an exploratory case study
  Dental trauma in children is common and requires prompt diagnosis, which can be challenging in remote or isolated settings with limited access to emergency dental care. This exploratory case study investigates whether OpenAI's o3 can support dental trauma diag…
  openalex Rune Johan Krumsvik, Kristin S. Klock, Magnus Holmøy Bratteberg 2026-01-15 置信度 0.72 Dental traumaMedicineExploratory researchSummative assessmentMedical emergency
• Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
  Abstract Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the emergence of SAM will yield significant benefits for a wide array of pr…
  openalex Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu 等 2024-04-12 置信度 0.72 SegmentationComputer scienceData scienceCode (set theory)Artificial intelligence
• Position paper: Telemedicine in occupational dermatology – current status and perspectives
  Teledermatology is the use of telecommunication technologies to exchange medical information for diagnosis, consultation, treatment and teaching in dermatology. While its use has been evaluated in a wide range of dermatological diagnoses, only few studies exis…
  openalex Peter Elsner, Andrea Bauer, Thomas L. Diepgen, Hans Drexler 等 2018-07-11 置信度 0.72 TeledermatologyTelemedicineMedicineContext (archaeology)Medical diagnosis
• Achieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape
  Prevalence of immune diseases is rising, imposing burdens on patients, healthcare providers, and society. Addressing the future impact of immune diseases requires "big data" on global distribution/prevalence, patient demographics, risk factors, biomarkers, and…
  openalex Stan Kachnowski, Asif Khan, Shadé Floquet, Kendal K. Whitlock 等 2025-11-14 置信度 0.72 Big dataData sharingLeverage (statistics)BusinessAccountability
• Role of Artificial Intelligence in P2P Energy Trading for Transforming Smart Homes to Smart Cities: A Comprehensive Survey
  Smart infrastructures, electric cars, and DERs have hastened the transition from centralized power systems to decentralized, prosumer-driven energy ecosystems. P2P energy trading allows families, villages, and cities to trade energy directly without a third pa…
  openalex Ali Raza, Muhammad Sajid Iqbal, Muhammad Adnan 2025-09-02 置信度 0.72 Energy (signal processing)BusinessComputer scienceTelecommunicationsData science
• The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review
  Background: Adult-type gliomas are among the most prevalent and lethal primary central nervous system tumors, where prompt and accurate diagnosis is essential for maximizing survival prospects. Molecular classification, particularly the detection of isocitrate…
  openalex Obada Almaabreh, Rukaya Al-Dafi, Aliya Tabassum, Ahmad Othman 等 2026-03-13 置信度 0.72 Artificial intelligenceMedicineIsocitrate dehydrogenaseMedical physicsMEDLINE
• Computational Science Role in Medical and Healthcare‐Related Approach
  Medical imaging, human genome research, clinical diagnosis, and medical data management are all areas where computer technology plays a critical role in modern medicine, healthcare, and life sciences. Computer science solutions will undoubtedly become a vital …
  openalex Pawan Whig, Arun Velu, Rahul Reddy Nadikattu, Yusuf Jibrin Alkali 2023-07-14 置信度 0.72 Computer scienceData scienceHealth careComputational modelMedical imaging
• Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring
  Gastrointestinal (GI) functional disorders and chronic inflammatory diseases impose a substantial health burden, yet their assessment remains challenging because symptoms reflect dynamic interactions among motility, visceral sensation, immune-microbiome regula…
  openalex Liucheng Li, Fang Lv, Chen Du, Lianjun Yang 等 2026-03-25 置信度 0.72 Computer scienceWorkflowArtificial intelligenceMedicineData science
• Review—Deep Learning Methods for Sensor Based Predictive Maintenance and Future Perspectives for Electrochemical Sensors
  The downtime of industrial machines, engines, or heavy equipment can lead to a direct loss of revenue. Accurate prediction of such failures using sensor data can prevent or reduce the downtime. With the availability of Internet of Things (IoT) technologies, it…
  openalex Srikanth Namuduri, Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, L. K. BURTON 等 2020-01-28 置信度 0.72 DowntimePredictive maintenanceComputer scienceInternet of ThingsReliability engineering
• Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcare
  OBJECTIVES: To develop and validate a tool for standardised quality assessment of data-driven algorithms in healthcare, focusing on the underlying data pipeline. METHODS: Data Assessment Tool for Algorithm Critical Appraisal and Robust Evidence (DATA-CARE) was…
  openalex Eris van Twist, Brian van Winden, Rogier de Jonge, H Rob Taal 等 2026-02-01 置信度 0.72 Computer sciencePipeline (software)Variety (cybernetics)Quality assessmentQuality (philosophy)
• Monitoring blood pressure and cardiac function without positioning via a deep learning–assisted strain sensor array
  Continuous and reliable monitoring of blood pressure and cardiac function is of great importance for diagnosing and preventing cardiovascular diseases. However, existing cardiovascular monitoring approaches are bulky and costly, limiting their wide application…
  openalex Shuo Li, Haomin Wang, Wei Ma, Lin Qiu 等 2023-08-11 置信度 0.72 Computer scienceWearable computerDeep learningBlood pressurePressure sensor
• Comparative Performance of ChatGPT 3.5 and GPT4 on Rhinology Standardized Board Examination Questions
  Objective: Advances in deep learning and artificial intelligence (AI) have led to the emergence of large language models (LLM) like ChatGPT from OpenAI. The study aimed to evaluate the performance of ChatGPT 3.5 and GPT4 on Otolaryngology (Rhinology) Standardi…
  openalex Evan A. Patel, Lindsay Fleischer, Peter Filip, Michael Eggerstedt 等 2024-04-01 置信度 0.72 RhinologyOtorhinolaryngologyPercentileMedicineMedical physics
• Artificial Intelligence-Based Exosome Analysis for Improving Diagnostic Performance of Breast Lesions on Ultrasound: Protocol of a Prospective, Multicenter Cohort Study
  PURPOSE: Exosome-surface enhanced Raman spectroscopy-artificial intelligence platform (exosome-SERS-AI) is an innovative liquid biopsy method that acquires SERS signals from plasma exosomes and analyzes them using deep learning models to diagnose cancer. This …
  openalex Sung Eun Song, Hyunku Shin, Yong Park, Yeonho Choi 等 2026-01-01 置信度 0.72 MedicineExosomeOncologyInternal medicineCohort study
• Artificial Intelligence in Venous Thromboembolism Prevention: A Narrative Review of Machine Learning, Deep Learning, and Natural Language Processing
  Venous thromboembolism (VTE), which includes deep vein thrombosis and pulmonary embolism, is a significant and preventable cause of morbidity and mortality worldwide. Despite the existence of clinical prediction models, biomarker-based risk assessments, and im…
  openalex Daniela Nicoleta Crisan, Talida Georgiana Cut, Lucian-Flavius Herlo, N Ivanović 等 2026-03-06 置信度 0.72 Artificial intelligenceWorkflowDeep learningMachine learningComputer science
• A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems
  Time-series forecasting is crucial in the efficient operation and decision-making processes of various industrial systems. Accurately predicting future trends is essential for optimizing resources, production scheduling, and overall system performance. This co…
  openalex Syeda Sitara Wishal Fatima, Afshin Rahimi 2024-06-01 置信度 0.72 InterpretabilityComputer scienceAutoregressive integrated moving averageExponential smoothingMachine learning
• Adoption of AI-empowered industrial robots in auto component manufacturing companies
  The usage of AI-empowered Industrial Robots (InRos) is booming in the Auto Component Manufacturing Companies (ACMCs) across the globe. Based on a model leveraging the Technology, Organisation, and Environment (TOE) framework, this work examines the adoption of…
  openalex Rajasshrie Pillai, Brijesh Sivathanu, Marcello M. Mariani, Nripendra P. Rana 等 2021-02-18 置信度 0.72 GlobeBusinessMarketingContext (archaeology)Work (physics)
• Unveiling Dynamic Resilience on Sustainable Performance in Supply Chain: Artificial Intelligence, System Optimization and Information Transparency
  ABSTRACT Supply chain resilience (SCR) enhances the use of artificial intelligence, system optimization, and information transparency to facilitate the dynamics in sustainable supply chain performance improvement. Prior studies neglect system dynamics involvem…
  openalex Kuo‐Jui Wu, Ming‐Yong Han, Caiyan Huang, Hailing Qiu 等 2025-10-01 置信度 0.72 Transparency (behavior)Resilience (materials science)Supply chainSystem dynamicsComputer science
• Artificial Intelligence in Adverse Outcome Pathways: A Review of Strategies for Automated Information Extraction, Quantitative Analysis, and Iterative Optimization
  The rapid emergence of novel chemical substances escalates the occupational and environmental health risks, posing significant challenges to the traditional toxicological risk assessment framework. While adverse outcome pathways (AOPs) have become a pivotal th…
  openalex Ziqi Zhu, Guiping Hu, Guang Jia 2026-02-25 置信度 0.72 Computer scienceAdverse Outcome PathwayRisk analysis (engineering)Risk assessmentArtificial intelligence
• Bioinspired Cross‐Modal Self‐Adaptive Machine Intelligence for Event‐Driven and Ultrahigh‐Precision Underwater Grasping
  ABSTRACT Embodied intelligent agents, which represent the future of robotics, demand precise perception and real‐time decision‐making capabilities to achieve natural environmental interactions. However current systems face inherent limitations in unimodal sens…
  openalex Hongyu Chen, Zijian Huang, Yanhao Luo, Yujin Wang 等 2026-02-12 置信度 0.72 Computer scienceInterface (matter)Human–computer interactionTactile sensorArtificial intelligence
• Possibilities and challenges of the defensive use of artificial intelligence and computer vision based technologies and applications in the defence sector
  I am thankful to all those who have
  openalex Viktor Huszár 2023-01-01 置信度 0.72 Computer scienceArtificial intelligenceCognitive scienceEngineeringPsychology
• Overview of allergic disease: Anaphylaxis – WAO White Book on Allergy 2026 – 2.11
  Anaphylaxis is a rapid-onset, potentially fatal systemic hypersensitivity reaction marked by airway, breathing, or circulatory compromise, which may occur even without skin symptoms. It is driven primarily by mast-cell activation-usually through IgE-mediated p…
  openalex Victória Cardona 2026-03-01 置信度 0.72 MedicineAllergyAnaphylaxisDermatologyWhite (mutation)
• Top Management Team Diversity and Strategic Innovation Orientation: The Relationship and Consequences for Innovativeness and Performance
  A firm's strategic innovation orientation, which is aimed at discovering and satisfying emerging customer needs with novel technological solutions, has repeatedly been shown to be crucial for firm innovativeness and firm performance. Despite its apparent impor…
  openalex Katrin Talke, Søren Salomo, Alexander Kock 2011-07-27 置信度 0.72 BusinessMarketingIndustrial organizationMarket orientationEntrepreneurial orientation
• Machine Learning‐Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug–Drug Self‐Assembly
  Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-assembling…
  openalex Chengyuan Zhang, Yuchuan Yuan, Qiong Xia, Junjie Wang 等 2025-01-10 置信度 0.72 NanomedicineDrugPaclitaxelPharmacologyDrug delivery
• EFFECT OF AIR POLLUTION MITIGATION BY ARTIFICIAL INTELLIGENCE TECHNOLOGY ON URBAN RESIDENTS’ HEALTH: EVIDENCE FROM 286 CITIES IN CHINA
  The technological revolution represented by Artificial Intelligence (AI) not only drives substantial changes in productivity, but also provides powerful impetus for profoundly altering people’s lifestyle. This article explores the effect of AI on residents’ he…
  openalex K. DONG, Y. GE, T.T. LIU, G.L. WANG 等 2026-01-01 置信度 0.72 ChinaAir pollutionMechanism (biology)Human healthPollution
• Responsibility Definition and Risk Management in the Clinical Application of Medical Artificial Intelligence:A Review Based on Four-Level Classification
  The rapid penetration of medical artificial intelligence (MAI) into clinical diagnosis and treatment scenarios has reshaped the traditional medical service model. However, issues such as ambiguous responsibility definition and lagging risk management have seve…
  openalex Shihan Yin 2026-04-13 置信度 0.72 Clinical governanceRisk managementRisk analysis (engineering)LaggingProcess management
• Ultrasound-assisted recovery of lycopene from tomato waste: a systematic review supported by generative artificial intelligence
  openalex Cristina Arroqui, M. Berradre, Fernandez-Pan Idoya, María José Beriain 等 2025-12-25 置信度 0.72 LycopeneAutomatic summarizationSystematic reviewScopusComputer science
• Navigating circular economy: Unleashing the potential of political and supply chain analytics skills among top supply chain executives for environmental orientation, regenerative supply chain practices, and supply chain viability
  Abstract In a changing business environment, firms encounter significant challenges to fulfill sustainable development goals. However, firms can make substantial progress by adopting regenerative approaches grounded in circular economy principles, enabling the…
  openalex Surajit Bag, Muhammad Sabbir Rahman 2023-07-04 置信度 0.72 Supply chainBusinessMarketingSupply chain managementScarcity
• Maximizing Efficiency of Artificial Intelligence-Enabled Ambient Scribes in Outpatient Settings: A Pragmatic Approach to Structuring the Patient Appointment
  The introduction of artificial intelligence (AI)-assisted documentation tools, such as ambient scribes, has promised to save time and reduce clinician burnout. Ambient scribe technology has begun to deliver, showing reduction in cognitive burden, greater effic…
  openalex Jason D. Greenwood, Marc Matthews, Joshua Overgaard, Joshua W. Ohde 2026-01-23 置信度 0.72 StructuringComputer scienceArtificial intelligenceKey (lock)Expert system
• Spatial omics: Navigating to the golden era of cancer research
  The idea that tumour microenvironment (TME) is organised in a spatial manner will not surprise many cancer biologists; however, systematically capturing spatial architecture of TME is still not possible until recent decade. The past five years have witnessed a…
  openalex Yingcheng Wu, Yifei Cheng, Xiangdong Wang, Jia Fan 等 2022-01-01 置信度 0.72 OmicsSpatial analysisData scienceGenomicsPrecision medicine
• A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment
  Abstract The utilization of Life Cycle Assessment (LCA) and its corresponding methodologies gained considerable attention within the realm of corporate social responsibility (CSR) and sustainability assessment. Nevertheless, a lack of extensive investigation o…
  openalex Roberto Cerchione, Mariarosaria Morelli, Renato Passaro, Ivana Quinto 2024-10-29 置信度 0.72 SustainabilityBusinessLife-cycle assessmentEnvironmental resource managementEconomics
• The Impact of Automation on Employment: Just the Usual Structural Change?
  We study the projected impact of automation on employment in the forthcoming decade, both at the macro-level and in actual (types of) sectors. Hereto, we unite an evolutionary economic model of multisectoral structural change with labor economic theory. We thu…
  openalex Ben Vermeulen, Jan Kesselhut, Andreas Pyka, Pier Paolo Saviotti 2018-05-21 置信度 0.72 AutomationOperations managementEngineeringBusinessManufacturing engineering
• Optimization of Hybrid Renewable Energy Systems: Classical Optimization Methods, Artificial Intelligence, Recent Trend, and Software Tools
  This article synthesizes the state of the art in the optimization of Hybrid Renewable Energy Systems (HRES), emphasizing that robust HRES planning is inherently an integrated sizing-and-dispatch problem constrained by techno-economic, environmental, and reliab…
  openalex Ibrahim Imbayah, Mohamed Khaleel, Zıyodulla Yusupov 2025-12-27 置信度 0.72 Computer scienceProbabilistic logicEvolutionary algorithmSizingBenchmarking
• Listen to Your Heart – Studying Heartbeat Detection and Emotional Intelligence
  Abstract: Perception of emotions is at the basis of scientific literature about emotions and is considered a crucial emotional function in the Mayer and Salovey hierarchical model of Emotional Intelligence. The perception of bodily signals plays an important r…
  openalex Antonella D’Amico, Giulia Mangiaracina 2023-09-05 置信度 0.72 PsychologyEmotional intelligencePerceptionInteroceptionHeartbeat
• Green Synthesis of Bioplastics from Microalgae: A State-of-the-Art Review
  The synthesis of conventional plastics has increased tremendously in the last decades due to rapid industrialization, population growth, and advancement in the use of modern technologies. However, overuse of these fossil fuel-based plastics has resulted in ser…
  openalex Adegoke Isiaka Adetunji, Mariana Erasmus 2024-05-08 置信度 0.72 BioplasticBiopolymerEnvironmentally friendlyPolyhydroxybutyrateBiochemical engineering
• Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
  Peptide-based drugs offer high specificity, potency, and selectivity. However, their inherent flexibility and differences in conformational preferences between their free and bound states create unique challenges that have hindered progress in effective drug d…
  openalex Liwei Chang, Arup Mondal, Bhumika Singh, Yisel Martínez‐Noa 等 2023-11-12 置信度 0.72 Drug discoveryPeptideComputational biologyComputer scienceDrug
• Model confrontation and collaboration: A debate intelligence framework for enhancing medical reasoning in large language models
  Medical reasoning is fundamental to clinical decision-making, underpinning tasks such as patient communication, diagnosis, and treatment planning. Inspired by psychological findings that peer interaction promotes self-correction, we introduce model confrontati…
  openalex Xinti Sun, Qiyang Hong, Mengyan Zhang, Yuyan Li 等 2026-01-01 置信度 0.72 LaypersonVerbal reasoningComputer scienceDialog boxArtificial intelligence
• Emotional Intelligence Training Correlates With Medical Students’ Apprehension of AI in Healthcare: A Single-Institution, Observational Study
  Background: The use of artificial intelligence (AI) in healthcare is becoming increasingly widespread. While AI has been touted to improve many aspects of the field, its potential to undermine the doctor-patient relationship has also been recognized. It is not…
  openalex Austin Runde, Shambhavi Mishra, Marina Feffer, Ramzan Shahid 2025-10-11 置信度 0.72 Observational studyApprehensionMedicineEmotional intelligenceClinical psychology
• Artificial Intelligence in MRI-Based Glioma Imaging: From Radiomics-Based Machine Learning to Deep Learning Approaches
  Gliomas are generally readily detected and broadly characterized using conventional MRI; however, substantial challenges remain in accurately delineating tumor extent, grading heterogeneous disease, and translating imaging findings into consistent, reproducibl…
  openalex Ammar Saloum, Israa Zaher, Christian T. Stipho, Enes Demir 等 2026-04-07 置信度 0.72 Artificial intelligenceDeep learningComputer scienceMachine learningGrading (engineering)
• Modeling physician variability to prioritize relevant medical record information
  OBJECTIVE: Patient information can be retrieved more efficiently in electronic medical record (EMR) systems by using machine learning models that predict which information a physician will seek in a clinical context. However, information-seeking behavior varie…
  openalex Mohammadamin Tajgardoon, Gregory F. Cooper, Andrew J. King, Gilles Clermont 等 2020-12-01 置信度 0.72 Logistic regressionContext (archaeology)Confidence intervalReceiver operating characteristicRelevance (law)
• Blazing the trail for innovative tuberculosis diagnostics
  The COVID-19 pandemic brought diagnostics into the spotlight in an unprecedented way not only for case management but also for population health, surveillance, and monitoring. The industry saw notable levels of investment and accelerated research which sparked…
  openalex Seda Yerlikaya, Tobias Broger, Chris Isaacs, David Bell 等 2023-11-30 置信度 0.72 PandemicPortfolioHealth careMedicineCoronavirus disease 2019 (COVID-19)
• Fundus Tessellated Density Assessed by Deep Learning in Primary School Children
  Purpose: To explore associations of fundus tessellated density (FTD) and compare characteristics of different fundus tessellation (FT) distribution patterns, based on artificial intelligence technology using deep learning. Methods: Comprehensive ocular examina…
  openalex Dan Huang, Rui Li, Yingxiao Qian, Saiguang Ling 等 2023-06-21 置信度 0.72 Fundus (uterus)OphthalmologyOptic discFundus photographyRetinal
• Managing Conflict of Interest in Clinical Practice Guidelines With Artificial Intelligence: Insights From Large Language Models and Beyond
  BACKGROUND: Conflict of interest (COI) management is critical for ensuring the scientific integrity and fairness of clinical practice guidelines (CPGs). Large language models (LLMs) have great potential in strengthening COI management, particularly in informat…
  openalex Ye Wang, Qi Wang, Yangqin Xun, Qi Zhou 等 2026-01-22 置信度 0.72 Clinical PracticeEngineering ethicsPsychologyManagement scienceConflict of interest
• Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare
  Background/Objectives: Artificial intelligence (AI) is increasingly used in healthcare to support clinical decision-making, patient monitoring, and administrative tasks. Nurses are expected to work with these technologies. However, the evidence suggests that t…
  openalex Awatif M. Alrasheeday, Aeshah Abdulaziz Alhawsawi, Bushra Alshammari, Sameer A. Alkubati 等 2026-05-04 置信度 0.72 PreparednessInternshipHealth careNursingCurriculum
• The Role of Artificial Intelligence in Combating Zoonotic and Public Health Infectious Diseases: A One Health Perspective on Challenges and Future Directions
  Zoonotic diseases cause 60% of total infectious diseases and 75% of emerging infections, and are a core danger to global health security.Climate change, globalization, and urbanization are also responsible for accelerating the convergence of determinants betwe…
  openalex 2025-12-11 置信度 0.72 Perspective (graphical)Public healthEngineering ethicsEnvironmental healthInfectious disease (medical specialty)
• A generalizable foundation model for analysis of human brain MRI
  Artificial intelligence applied to brain magnetic resonance imaging (MRI) holds potential to advance diagnosis, prognosis and treatment planning for neurological diseases. The field has been constrained, thus far, by limited training data and task-specific mod…
  openalex Divyanshu Tak, Biniam A. Garomsa, Anna Zapaishchykova, Tafadzwa L. Chaunzwa 等 2026-02-05 置信度 0.72 NeuroimagingArtificial intelligenceComputer scienceFoundation (evidence)Neuroscience
• The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review
  Purpose: A growing body of literature has emerged on the topic of Artificial Intelligence (AI) use in Simulation-Based Medical Education (SBME) in recent years, but most studies have focused on isolated applications of AI to components of simulation, making it…
  openalex S H Hasan, Ayesha Ahmed, Faisal Ismail 2026-04-01 置信度 0.72 NarrativeNarrative reviewExperiential learningRelevance (law)Literacy
• Artificial intelligence-assisted reader evaluation in acute CT head interpretation (AI-REACT): a multireader multicase study
  Objective To assess whether an artificial intelligence (AI) tool improves the accuracy, speed and confidence of general radiologists, emergency clinicians and radiographers in detecting critical non-contrast CT head (NCCTH) abnormalities and to evaluate its st…
  openalex Alex Novak, Ruchir Shah, Abdala T Espinosa Morgado, Dennis Robert 等 2026-03-01 置信度 0.72 MedicineReceiver operating characteristicConfidence intervalRadiologyEmergency department
• Evaluating ChatGPT-3.5 in allergology: performance in the Polish Specialist Examination
  The development of Artificial Intelligence (AI) and attempts to use it in medicine are increasingly becoming the subject of more scientific research. Aim: The aim of this article is to present the effectiveness of the advanced language model, ChatGPT-3.5 in th…
  openalex Michał Bielówka, Jakub Kufel, Marcin Rojek, Adam Mitręga 等 2024-01-01 置信度 0.72 Library scienceComputer science
• Health IT, hacking, and cybersecurity: national trends in data breaches of protected health information
  OBJECTIVE: The rapid adoption of health information technology (IT) coupled with growing reports of ransomware, and hacking has made cybersecurity a priority in health care. This study leverages federal data in order to better understand current cybersecurity …
  openalex Jay G. Ronquillo, J. Winterholler, Kamil Cwikla, Raphael Szymanski 等 2018-06-11 置信度 0.72 HackerData breachComputer securityRansomwareContext (archaeology)
• An Enhanced Evolutionary Software Defect Prediction Method Using Island Moth Flame Optimization
  Software defect prediction (SDP) is crucial in the early stages of defect-free software development before testing operations take place. Effective SDP can help test managers locate defects and defect-prone software modules. This facilitates the allocation of …
  openalex Ruba Abu Khurma, Hamad Alsawalqah, Ibrahim Aljarah, Mohamed Abd Elaziz 等 2021-07-22 置信度 0.72 TraverseSupport vector machineSoftwareComputer scienceFeature selection
• Ovarian cancer think tank: the use of integrated artificial intelligence and computational biology in ovarian cancer diagnosis and treatment
  Artificial intelligence and computational biology are rapidly advancing, offering unprecedented opportunities to transform both ovarian cancer research and clinical care. However, limited understanding of how to optimally integrate the information these tools …
  openalex 2026-01-01 置信度 0.72 Ovarian cancerMedicineArtificial intelligenceApplications of artificial intelligenceComputer science
• Three‐in‐One Portable Electronic Sensory System Based on Low‐Impedance Laser‐Induced Graphene On‐Skin Electrode Sensors for Electrophysiological Signal Monitoring
  Abstract On‐skin sensors can precisely perceive important electrophysiological signals, including electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG). Despite significant advances in the development of soft materials as electrode sens…
  openalex Quan Zhang, Menglong Qu, Xingye Liu, Yilei Cui 等 2022-12-01 置信度 0.72 Data acquisitionInterface (matter)SIGNAL (programming language)Computer scienceWearable computer
• Preoperative localization of pulmonary nodules using ultra-low-dose CT based on artificial intelligence iterative reconstruction
  Background: Preoperative localization of pulmonary nodules requires multiple computed tomography (CT) scans, making it an urgent problem to address how to effectively reduce radiation damage while maintaining image quality. Artificial intelligence iterative re…
  openalex Huixiang Lan, Xiaobin Liu, Danlin Ou, Sihua Zhong 等 2026-02-13 置信度 0.72 MedicineRadiologyIterative reconstructionImage qualityComputed tomography
• ChatGPT and Tourist Decision‐Making: An Accessibility–Diagnosticity Theory Perspective
  ABSTRACT This paper investigates the role of ChatGPT in informing tourist decision‐making across different destination contexts, focusing particularly on the accessibility and diagnosticity of its recommendations. Specifically, we inform our analysis with the …
  openalex Dimitrios P. Stergiou, Athina Nella 2024-09-01 置信度 0.72 TourismPerspective (graphical)BlueprintRelevance (law)Adaptation (eye)
• A Decade of Artificial Intelligence in Stroke Care (2015–2025): Trends, Clinical Translation, and the Precision Medicine Frontier—A Narrative Review
  Background/Objectives: Stroke generates 157 million disability-adjusted life-years (DALYs) annually, making it the leading neurological cause of global disease burden. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative techno…
  openalex Mian Urfy, Mariam Tariq Mir 2026-04-16 置信度 0.72 MedicineRandomized controlled trialStroke (engine)TriagePrecision medicine
• How does artificial intelligence promote teaching innovation in basic education? Teaching experience from Macau, China
  Artificial intelligence has transformed teachers’ teaching models. This article explores the application of artificial intelligence in basic education in Macao middle schools. This study adopts case analysis in qualitative research, using a total of eight case…
  openalex Sio Hong Teng, Fat Fai Ieong 2024-11-26 置信度 0.72 ChinaMathematics educationPsychologyPolitical scienceLaw
• Monitoring Asynchrony During Invasive Mechanical Ventilation
  Mechanical ventilation in critically ill patients must effectively unload inspiratory muscles and provide safe ventilation (ie, enhancing gas exchange, protect the lungs and the diaphragm). To do that, the ventilator should be in synchrony with patient's respi…
  openalex José Aquino‐Esperanza, Leonardo Sarlabous, Candelaria de Haro, Rudys Magrans 等 2020-05-26 置信度 0.72 Asynchrony (computer programming)MedicineMechanical ventilationMechanical ventilatorIntensive care medicine
• Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID‐19 Patients Receiving Antivirals
  INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients. METHODS: A retrospective cohort study was conducted at Beijing You'An Hospital, focusing on patien…
  openalex Yuan Gao, Yixi Dong, Qiushi Bu, Zhijie Gong 等 2024-09-01 置信度 0.72 MedicineRitonavirInternal medicinePneumoniaCoronavirus disease 2019 (COVID-19)
• Impact of artificial intelligence on empowering the future of nursing professionalism, educational and clinical advancements: an umbrella review on AI-driven transformation
  Artificial Intelligence (AI) is rapidly transforming healthcare by augmenting clinical decision-making, streamlining workflows, and personalizing education and patient care. Nursing, as the largest healthcare workforce, stands at the forefront of this transfor…
  openalex Mohammed Umar, Karthika S., B. Kalyani, Lakshmi Priyadharshini V. R. 等 2026-01-22 置信度 0.72 Transformative learningHealth careAutonomyNursingDigital transformation
• Legal provisions on medical aid in dying encode moral intuition
  In recent decades, many jurisdictions have moved toward legalizing euthanasia and assisted suicide, alongside a near-universal increase in public acceptance of medical aid in dying. Here, we draw on a comprehensive quantitative review of current laws on assist…
  openalex Ivar R. Hannikainen, Jorge Alberto Durán Suárez, Luis Espericueta, Maite Menéndez-Ferreras 等 2024-10-08 置信度 0.72 LegalizationIntuitionLegislatureAssisted suicidePolitical science
• Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence–Ready Informatics Ecosystem for Radiation Oncology
  In August 2022, the Cancer Informatics for Cancer Centers brought together cancer informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation Oncology, co-chaired by Quynh-Thu Le, MD (Stanford University), and Walter J. Curran,…
  openalex Danielle S. Bitterman, Michael F. Gensheimer, David A. Jaffray, Daniel A. Pryma 等 2023-09-01 置信度 0.72 Radiation oncologyInformaticsWorkflowHealth informaticsContext (archaeology)
• Application Areas of Computer Vision and AI in Intelligent Automation Systems
  The combination of artificial intelligence (AI) and computer vision (CV) has led to tremendous growth in industries such as manufacturing, healthcare, agriculture, transportation, and sports. BMW applications show how robots guided by vision can solve 97% of p…
  openalex Vinod Kumar, Chander Prabha, Ajay Pal Singh, Raj Kumar 2025-07-25 置信度 0.72 AutomationComputer scienceArtificial intelligenceComputer visionEngineering
• Stability of clinical prediction models developed using statistical or machine learning methods
  Clinical prediction models estimate an individual's risk of a particular health outcome. A developed model is a consequence of the development dataset and model-building strategy, including the sample size, number of predictors, and analysis method (e.g., regr…
  openalex Richard D Riley, Professor Gary S. Collins 2023-07-19 置信度 0.72 Stability (learning theory)Predictive modellingInstabilityEconometricsComputer science
• Electrochemical methods for the determination of urea: Current trends and future perspective
  Urea is the final product of nitrogen metabolism in mammals. In human beings, it is a main indicator of liver and kidney activity and a marker for hemodialysis treatments. Furthermore, urea is used in many industrial processes, in agriculture and in the farm i…
  openalex Lorenzo Quadrini, Serena Laschi, Claudio Ciccone, Filippo Catelani 等 2023-10-05 置信度 0.72 UreaElectrochemistryBiological fluidsBiochemical engineeringBiosensor
• The Shape of Medical Devices Regulation in the United Kingdom? Brexit and Beyond
  The United Kingdom’s Medicines and Medical Devices Act (MMD Act) 2021 received royal assent on 11 February 2021. In its passage through parliament, as well as in the accompanying Explanatory Notes, the Act was framed by the government as a necessary post-Brexi…
  openalex Muireann Quigley, Laura Downey, Zaina Mahmoud, Jean V. McHale 2023-11-20 置信度 0.72 BrexitStatutory lawLegislationParliamentEuropean union
• Comment on “Can Large Artificial Intelligence‐Based Linguistic Models Help to Obtain Information About Burning Mouth Syndrome?”
  Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
  openalex Asmaa Abou‐Bakr, Fatma E. A. Hassanein 2026-07-27 置信度 0.72 Computer scienceNatural language processingBurning mouth syndromeCurrent (fluid)Artificial intelligence
• Rationalization of reproduction - path towards dehumanization of humanity: Political, legal, and ethical aspects of using artificial intelligence in embryo selection
  Artificial Intelligence is becoming an essential part of human life, and the creation of life is no exception. While using AI in biomedically assisted reproduction (BMAR) gives new hope to couples struggling with infertility, it also raises a difficult questio…
  openalex Bogdana Stjepanović 2026-01-01 置信度 0.72 DehumanizationRationalization (economics)DignityReproductionAutonomy
• Modelling the Longevity of Dental Restorations by means of a CBR System
  The lifespan of dental restorations is limited. Longevity depends on the material used and the different characteristics of the dental piece. However, it is not always the case that the best and longest lasting material is used since patients may prefer differ…
  openalex Ignacio Aliaga, Vicente Vera, Juan F. De Paz, Álvaro Enrique García Barbero 等 2015-01-01 置信度 0.72 Amalgam (chemistry)LongevityCluster analysisComputer scienceDentistry
• Artificial intelligence in rehabilitation: a review of clinical effectiveness, real-world performance, safety, and equity across modalities and settings
  Background: Rehabilitation faces a scale problem: millions who could benefit lack timely, effective services. Artificial intelligence (AI) and device-based modalities (e.g., robotics and VR) can extend reach and personalise care when validated, yet decision-ma…
  openalex Nafisa Abdalla, Rabie Adel El Arab, Amany Abdrbo, Mohammad Almari 等 2026-03-18 置信度 0.72 ModalitiesArtificial intelligencePsychological interventionRoboticsMedicine
• Physics-informed artificial intelligence with splines for modeling advection–diffusion–reaction under dynamic boundaries
  This paper proposes Physics-Informed Deep Operator Networks (PI-DeepONets) for rapid simulation of Advection–Diffusion–Reaction (ADR) systems with time-variable boundary conditions. These are viewed as inputs of the system and each family of inputs can be repr…
  openalex Romain Belmonte, Jean‐Yves Dieulot, Mattia Galanti, Martin van Sint Annaland 2025-12-31 置信度 0.72 Parameterized complexityComputer scienceBoundary (topology)Artificial neural networkSet (abstract data type)
• Is Artificial Intelligence (AI) currently able to provide evidence-based scientific responses on methods that can improve the outcomes of embryo transfers? No
  OBJECTIVE: The rapid development of Artificial Intelligence (AI) has raised questions about its potential uses in different sectors of everyday life. Specifically in medicine, the question arose whether chatbots could be used as tools for clinical decision-mak…
  openalex Argyrios Kolokythas, Michael H. Dahan 2024-01-01 置信度 0.72 Context (archaeology)Artificial intelligenceComputer sciencePsychologyTest (biology)
• Comparison of blockchain platforms: a systematic review and healthcare examples
  OBJECTIVES: To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform …
  openalex Tsung-Ting Kuo, Hugo Zavaleta Rojas, Lucila Ohno‐Machado 2019-01-08 置信度 0.72 BlockchainComputer scienceHealth careData scienceSystematic review
• Nurses’ knowledge, attitudes, and perceived challenges toward artificial intelligence applications in patient care: a descriptive-analytical cross-sectional study
  BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, nurses' knowledge, attitudes, and perceived challenges play a crucial role in its adoption in patient care. This study aimed to assess nurses' knowledge…
  openalex Rehab Ragab Bayoumi Elsayed, Rehab Ragab Bayoumi Elsayed, Ahmed Mohamed Elmarakby Nagy, Eman Sobhy Elsaid Hussein 等 2026-07-04 置信度 0.72 Nonprobability samplingNursing managementMedicineSample (material)Health informatics
• Deep Learning Networks
  This textbook presents multiple facets of deep learning networks and their design, development, and deployment in artificial intelligence
  openalex Jayakumar Singaram, S. S. Iyengar, Azad M. Madni 2023-11-01 置信度 0.72 Software deploymentDeep learningComputer scienceArtificial intelligenceSoftware engineering
• Can artificial intelligence debunk health misinformation more effectively than humans? A three‐dimensional persuasion analysis
  Abstract Health misinformation presents significant challenges to public well‐being, making effective debunking strategies crucial. While artificial intelligence (AI) shows potential in generating debunking texts, its persuasiveness compared to human‐generated…
  openalex Xinyu Ji, Xing Zhang 2026-01-16 置信度 0.72 MisinformationPersuasionPsychologyHealth communicationRhetoric
• Examining the Impact of Artificial Intelligence Technology on Sustainable Development in Highway Maintenance Industry: A Structural Equation Modelling Approach
  In the field of the road transportation industry, quantitative research on the relationship between artificial intelligence (AI) technology and corporate sustainable development is relatively scarce. This disparity has led to discussions about whether artifici…
  openalex Jizhao Zhou, Chenyang Wang, Jin Guo, Peng Qin 2026-01-15 置信度 0.72 Sustainable developmentStructural equation modelingField (mathematics)Capital (architecture)Engineering
• Research and Innovation in Case Management: A Decade in Review (2016–2026)
  ABSTRACT: Research and innovation are foundational to the transformation of professional case management and utilization review (CM/UR). Over the past decade, CM/UR has evolved significantly to address care complexity, workforce challenges, regulatory change, …
  openalex Heaven Provo 2026-07-10 置信度 0.72 WorkforceInteroperabilityAgile software developmentBusinessKnowledge management
• Word sense disambiguation by selecting the best semantic type based on Journal Descriptor Indexing: Preliminary experiment
  Abstract An experiment was performed at the National Library of Medicine® (NLM®) in word sense disambiguation (WSD) using the Journal Descriptor Indexing (JDI) methodology. The motivation is the need to solve the ambiguity problem confronting NLM's MetaMap sys…
  openalex Susanne M. Humphrey, Willie J. Rogers, Halil Kilicoglu, Dina Demner‐Fushman 等 2005-11-03 置信度 0.72 Unified Medical Language SystemAmbiguityInformation retrievalComputer scienceSet (abstract data type)
• A novel deep convolutional neural network algorithm for surface defect detection
  Abstract The surface defect detection (SDD) problem is one of the crucial techniques during production process, so it has become a key research area to control the quality of industrial products, which has been increasingly of greater interest to the researche…
  openalex Dehua Zhang, Xinyuan Hao, Linlin Liang, Wei Liu 等 2022-07-29 置信度 0.72 OverfittingConvolutional neural networkComputer scienceArtificial intelligenceFeature (linguistics)
• Generative artificial intelligence in optimizing the quality of cancer care: potential, limitations, and future directions of development for Large Language Models. A narrative literature review
  This literature review included scientific articles, published between 2022 and 2025, indexed in PubMed, Scopus, and Proquest. The article investigates the potential of generative artificial intelligence (GenAI), particularly Large Language Models (LLMs), to i…
  openalex Joanna Gotlib-Małkowska, Kinga Włodarczyk, Paweł Koczkodaj, Marta Hreńczuk 等 2026-03-03 置信度 0.72 TerminologyDehumanizationQuality (philosophy)NarrativeAutonomy
• When geoscience meets generative AI and large language models: Foundations, trends, and future challenges
  Abstract Generative Artificial Intelligence (GAI) represents an emerging field that promises the creation of synthetic data and outputs in different modalities. GAI has recently shown impressive results across a large spectrum of applications ranging from biol…
  openalex Abdenour Hadid, Tanujit Chakraborty, D. Busby 2024-06-11 置信度 0.72 Computer scienceGenerative grammarData scienceField (mathematics)Generative model
• Printed sensing human-machine interface with individualized adaptive machine learning
  Developing intelligent robots with integrated sensing capabilities is critical for advanced manufacturing, medical robots, and embodied intelligence. Existing robotic sensing technologies are limited to recording of acceleration, driving torque, pressure feedb…
  openalex Guohui Wang, Yao Tang, Xinran Luo, Shengdi Lu 等 2025-09-10 置信度 0.72 Computer scienceGestureArtificial intelligenceRobotHuman–computer interaction
• Advanced 3D Modeling and Bioprinting of Human Anatomical Structures: A Novel Approach for Medical Education Enhancement
  Current challenges in anatomical teachings, such as cadaver shortages, ethical limitations, and restricted access to pathological specimens, are increasingly being mitigated by advancing medical technologies, and among these are three-dimensional modeling tech…
  openalex Sergio Castorina, Stefano Puleo, Caterina Crescimanno, Salvatore Pezzino 2025-12-19 置信度 0.72 3D bioprintingComputer scienceHuman anatomy3d modelData science
• Assessing ChatGPT responses to common patient questions regarding total ankle arthroplasty
  Purpose: Artificial Intelligence is becoming increasingly integrated into healthcare, making it essential to assess its potential as a reliable information source for patient queries in the ambit of orthopaedic surgery. In literature, it is being employed in f…
  openalex Elena Artioli, Francesca Veronesi, Antonio Mazzotti, Silvia Brogini 等 2024-12-31 置信度 0.72 CLARITYFoot and ankle surgeryReadabilityAnkleOrthopedic surgery
• Artificial intelligence anxiety, digital well-being, and future career concerns among engineering and information technology students in Jordan
  Introduction The rapid advancement of artificial intelligence (AI) is fundamentally transforming educational and employment landscapes, generating increasing psychological concerns among students in technology-intensive fields. This study examines AI-related a…
  openalex Mais Al-Nasa’h, Luae Al-Tarawneh, Ola Abd alkareem alhwayan 2026-03-30 置信度 0.72 AnxietyPsychologyMedical educationEngineering educationInformation technology
• Understanding implementation science in medical radiation sciences
  OBJECTIVES: Radiography, like many allied health professions, faces persistent challenges in translating evidence and innovation into routine clinical practice. Despite a strong foundation in evidence-based practice, the adoption of new technologies, protocols…
  openalex F. Manning, A. Hancock, R. Meertens, J. Ede 2025-12-23 置信度 0.72 Medical physicistMedical radiationMedical physicsEngineering ethicsMedical science
• Leveraging imperfection with MEDLEY: a multi-model approach harnessing bias in medical AI
  Bias in medical artificial intelligence is conventionally viewed as a defect that requires elimination. However, human reasoning inherently incorporates biases shaped by education, culture, and experience, suggesting their presence may be inevitable and potent…
  openalex Farhad Abtahi, Mehdi Astaraki, Fernando Seoane 2026-03-04 置信度 0.72 Cognitive reframingComputer scienceArtificial intelligenceTrustworthinessData science
• Meaningful oversight of medical AI beyond human in the loop
  Human oversight of medical AI is increasingly required, but clinician presence alone does not make oversight meaningful. We propose four interlocking conditions—epistemic capacity, cognitive space, decisional authority, and intervention effectiveness—that dete…
  openalex Davy van de Sande, Nicoleta Economou‐Zavlanos, Michel E. van Genderen 2026-07-23 置信度 0.72 Human-in-the-loopFunction (biology)Computer scienceIntervention (counseling)Control (management)
• The Impact of Generative Artificial Intelligence Use on Perceived English Learning Achievement: The Roles of Use Behavior and Task–Technology Fit
  The rapid advancement of generative artificial intelligence (GAI) has intensified interest in its potential to support English learning in higher education. However, the mechanisms through which students' perceptions and motivations translate into learning ach…
  openalex Zhongrui Wang, Shibao Guo 2026-04-25 置信度 0.72 PsychologyPerceptionTask (project management)Generative grammarStructural equation modeling
• Cyber–Physical Systems in Healthcare Based on Medical and Social Research Reflected in AI-Based Digital Twins of Patients
  Cyber–physical systems (CPS) in healthcare represent a deep integration of computational intelligence, physical medical devices, and human-centric data, enabling continuous, adaptive, and personalized care. These systems combine real-time measurements, artific…
  openalex Emilia Mikołajewska, Urszula Rogalla-Ładniak, Jolanta Masiak, Ewelina Panas 等 2025-12-28 置信度 0.72 Wearable computerField (mathematics)Health careDigital healthMedical research
• AI-PACE: a framework for integrating AI into medical education
  Medical AI education remains fragmented, specialty-skewed, and lacks longitudinal structure, particularly for generalist physicians. Through an integrative review of 23 peer-reviewed articles (2016-2025), we identified three structural gaps: short-term interve…
  openalex Scott P. McGrath, Katherine K. Kim, Karnjit Johl, Haibo Wang 等 2026-05-16 置信度 0.72 Medical educationPsychological interventionContinuing medical educationPsychologyKnowledge management
• Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?
  OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity. MATERIALS AND METHODS: Binary support vector …
  openalex Ying Wang, Enrico Coiera, Farah Magrabi 2020-04-27 置信度 0.72 Unified Medical Language SystemComputer scienceSupport vector machineBenchmark (surveying)Artificial intelligence
• Flourishing Ethics and identifying ethical values to instill into artificially intelligent agents
  Abstract The present paper uses a Flourishing Ethics analysis to address the question of which ethical values and principles should be “instilled” into artificially intelligent agents. This is an urgent question that is still being asked seven decades after ph…
  openalex Nesibe Kantar, Terrell Ward Bynum 2022-09-17 置信度 0.72 FlourishingValue (mathematics)Environmental ethicsEngineering ethicsTreasure
• Nanomedicine in 2026: Illustrative Quantitative Analyses of EPR Heterogeneity, Clinical Trial Attrition, and Emerging Horizons for Active Nanotherapeutics
  2026 is a turning point for nanomedicine, marking the field's transition from decades of preclinical promise toward tangible clinical impact. This narrative review provides a forward-oriented synthesis of the most significant clinical breakthroughs achieved du…
  openalex Sayed Mortaza Fayez 2026-06-01 置信度 0.72 NanomedicineClinical trialNanotechnologyDrug deliveryMedicine