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• Global, regional, and national burden of allergic disorders and their risk factors in 204 countries and territories, from 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019
  BACKGROUND: Asthma and atopic dermatitis (AD) are chronic allergic conditions, along with allergic rhinitis and food allergy and cause high morbidity and mortality both in children and adults. This study aims to evaluate the global, regional, national, and tem…
  openalex Youn Ho Shin, Jimin Hwang, Rosie Kwon, Seung Won Lee 等 2023-07-11 置信度 0.72 MedicineAsthmaAtopic dermatitisPopulationDisease burden
• The Carbon Cost of Intelligence: A Domain-Specific Framework for Measuring AI Energy and Emissions
  The accelerating energy demands from artificial intelligence (AI) deployment introduce systemic challenges for achieving carbon neutrality. Large language models (LLMs) represent a dominant driver of AI energy consumption, with inference operations constitutin…
  openalex Rashanjot Kaur, Triparna Kundu, Kathleen Park, Eugene Pinsky 2026-01-26 置信度 0.72 Energy consumptionCarbon footprintComputer scienceBenchmark (surveying)Energy (signal processing)
• Integrating Model‐Informed Drug Development With AI : A Synergistic Approach to Accelerating Pharmaceutical Innovation
  The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate pr…
  openalex Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan 2025-01-01 置信度 0.72 InterpretabilityComputer scienceDrug developmentPharmaceutical industryDrug discovery
• Mapping and Quality Appraisal of Artificial Intelligence Preferential Reporting Checklists, Items, Guidelines, and Consensus in Healthcare: An Altmetric, Bibliometric, and Systematic Review
  Introduction: The integration of artificial intelligence (AI) in healthcare has garnered significant scholarly attention, particularly in areas such as medical image analysis, prognosis, and treatment. Despite its potential, concerns regarding AI's reliability…
  openalex Vineet Vinay, Praveen Jodalli, Mahesh S. Chavan, Dharmashree Satyarup 等 2026-01-01 置信度 0.72 Systematic reviewCritical appraisalQuality (philosophy)Strengths and weaknessesData extraction
• Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
  Treatments that can completely resolve brain diseases have yet to be discovered. Omics is a novel technology that allows researchers to understand the molecular pathways underlying brain diseases. Multiple omics, including genomics, transcriptomics and proteom…
  openalex Jong Hyuk Yoon, Hagyeong Lee, Dayoung Kwon, Dongha Lee 等 2024-01-01 置信度 0.72 NeuroimagingOmicsData scienceComputational biologyNeuroscience
• Interpretable and accurate prediction models for metagenomics data
  BACKGROUND: Microbiome biomarker discovery for patient diagnosis, prognosis, and risk evaluation is attracting broad interest. Selected groups of microbial features provide signatures that characterize host disease states such as cancer or cardio-metabolic dis…
  openalex Edi Prifti, Yann Chevaleyre, Blaise Hanczar, Eugeni Belda 等 2020-03-01 置信度 0.72 InterpretabilityMicrobiomeComputer scienceMetagenomicsMachine learning
• Rare diseases in Germany - Developments in the status of medical care
  Background: Rare diseases are a heterogeneous group of complex clinical patterns, which more often than not run a chronic course. The fact that they are rare complicates the provision of medical care for the specific diseases. Results: In the field of action t…
  openalex Miriam Schlangen 2023-01-01 置信度 0.72 Action planAction (physics)PsychosocialMedicineChristian ministry
• Artificial neural network for enhancing signal-to-noise ratio and contrast in photothermal optical coherence tomography
  Optical coherence tomography (OCT) is a medical imaging method that generates micron-resolution 3D volumetric images of tissues in-vivo. Photothermal (PT)-OCT is a functional extension of OCT with the potential to provide depth-resolved molecular information c…
  openalex Mohammadhossein Salimi, Nima Tabatabaei, Martin Villiger 2024-05-04 置信度 0.72 Optical coherence tomographyComputer scienceSIGNAL (programming language)Artificial intelligenceSignal-to-noise ratio (imaging)
• Global English-language-dominated discourse on artificial intelligence in healthcare: a three-year longitudinal analysis of the #AIinHealthcare movement on X
  Background: Social media platforms facilitate global discourse on the application of artificial intelligence (AI) in healthcare. Nevertheless, there is a paucity of longitudinal analyses of digitally mediated discussions. Objective: To investigate the evolutio…
  openalex Thomas Wochele‐Thoma, Thadiyan Parambil Ijinu, Sreejith Pongillyathundi Sasidharan, Anoop Manakkadan 等 2026-04-17 置信度 0.72 GrassrootsSociologyDiscourse analysisEliteSocial media
• A Survey on Symbolic Knowledge Distillation of Large Language Models
  This survey article delves into the emerging and critical area of symbolic knowledge distillation in large language models (LLMs). As LLMs such as generative pretrained transformer-3 (GPT-3) and bidirectional encoder representations from transformers (BERT) co…
  openalex K. Acharya, Alvaro Velasquez, Houbing Song 2024-07-15 置信度 0.72 Computer scienceDistillationThe SymbolicNatural language processingPsychology
• Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement
  MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prepare them for patient care. Many programs utilize end-of-year evaluations, but these frequently have low respon…
  openalex Amy L. Olex, Adam Garber, Sally A. Santen, Courtney Blondino 等 2024-08-20 置信度 0.72 CurriculumInternshipNarrativeProcess (computing)Medical education
• Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features
  Medical imaging techniques like fluorodeoxyglucose positron emission tomography (FDG-PET) have been used to aid in the differential diagnosis of neurodegenerative brain diseases. In this study, the objective is to classify FDG-PET brain scans of subjects with …
  openalex Deborah Mudali, Laura K. Teune, Remco J. Renken, Klaus L. Leenders 等 2015-01-01 置信度 0.72 Decision treeArtificial intelligencePattern recognition (psychology)Progressive supranuclear palsyPrincipal component analysis
• LINGKUNGAN ARTIFISIAL DALAM PEMBELAJARAN BAHASA ARAB
  This research was aimed at proving whether artificial language environment affect Arabic language skills and analyzing how the artificial language environment impact the skills. The method used in this research was categorized into a field research which combi…
  openalex Nur Habibah 2016-12-28 置信度 0.72 Active listeningArabicReading (process)Affect (linguistics)Mathematics education
• Challenges in the diagnosis of malignant skin neoplasms using artificial intelligence software and approaches to their resolution on the example of Derma Onko Melanoma Check software
  Background. Artificial intelligence (AI)-based computer vision software is becoming an increasingly important tool in dermato-oncological practice. Deep learning models have demonstrated the ability to classify skin neoplasms with accuracy comparable to that o…
  openalex D. I. Korabelnikov, A. I. Lamotkin 2026-08-06 置信度 0.72 SoftwareArtificial intelligenceClinical PracticeMedical physicsComputer science
• Antimicrobial use and resistance
  Antimicrobial resistance affects the delivery of safe and effective healthcare. Antimicrobial resistance has attracted strong political focus, with the 2024 United Nations General Assembly high level meeting providing a clear commitment to reducing mortality a…
  openalex Nada Reza, Vineet Dubey, Michael Sharland, William Hope 2025-12-12 置信度 0.72 Antibiotic resistanceAntimicrobialAntibioticsMedicineIntensive care medicine
• Strategic Implementation of Artificial Intelligence and Machine Learning in the Pharmaceutical Sector: A Dual Hesitant Fuzzy Group Decision Making Approach
  The pharmaceutical industry is regarded as one of the leading industries in Bangladesh. Further developments and sustainability can be offered through the integration of Artificial Intelligence (AI) and Machine Learning (ML) in this industry as vast amounts of…
  openalex Md. Ashaduzzaman, Nahiyan Ishmam Nawar, Shakil Ahmed Khan, Atif Abrar Biswas 等 2024-12-21 置信度 0.72 Dual (grammatical number)Group decision-makingArtificial intelligenceComputer scienceFuzzy logic
• AI Use for Medical Students: Impact on Clinical Skill Acquisition and Retention. A Systematic Review
  Purpose: Artificial Intelligence (AI) is increasingly used in undergraduate medical education but has a potentially negative impact on clinical reasoning development. Specifically, the use of AI in medical student education may lead to deskilling and upskillin…
  openalex Jonathan Turney, Timothy Young, Dhyana Chauhan, Roshni Beeharry 等 2026-04-01 置信度 0.72 DeskillingMedical educationKnowledge acquisitionInclusion (mineral)MEDLINE
• BPPV Information on Google Versus AI (ChatGPT)
  OBJECTIVE: To quantitatively compare online patient education materials found using traditional search engines (Google) versus conversational Artificial Intelligence (AI) models (ChatGPT) for benign paroxysmal positional vertigo (BPPV). STUDY DESIGN: The top 3…
  openalex Jeffrey R. Bellinger, Julian S. De La Chapa, Minhie W. Kwak, Gabriel Ramos 等 2023-08-25 置信度 0.72 ReadabilityBenign paroxysmal positional vertigoQuality ScoreMedicineQuality (philosophy)
• A Dataset for Evaluating Large Language Models on Chinese National Medical Licensing Examinations
  Large language models (LLMs) are increasingly applied in medical education, question answering, and clinical reasoning, yet standardized datasets in non-English contexts remain limited. To address this gap, we present CNMLEQA, a benchmark dataset for evaluatin…
  openalex Hui Zong, Jiaxue Cha, Yi-Xiang Wang, Yu Song 等 2026-04-17 置信度 0.72 MetadataBenchmark (surveying)AnnotationComputer scienceData science
• Personalized Rule-Based Proofreading for Speech Recognition Errors in Radiology Reports: Development Using Artificial Intelligence Coding Assistance
  Version of record:
  openalex Tetsuro Araki 2026-03-11 置信度 0.72 ProofreadingComputer scienceArtificial intelligenceSpeech recognitionCoding (social sciences)
• Verbal and General IQ Associate with Supragranular Layer Thickness and Cell Properties of the Left Temporal Cortex
  The left temporal lobe is an integral part of the language system and its cortical structure and function associate with general intelligence. However, whether cortical laminar architecture and cellular properties of this brain area relate to verbal intelligen…
  openalex Djai B. Heyer, René Wilbers, Anna A. Galakhova, Els A. Hartsema 等 2021-09-08 置信度 0.72 Temporal lobeTemporal cortexCortex (anatomy)NeurosciencePsychology
• Industry 5.0 applications for sustainability: A systematic review and future research directions
  Abstract Industry 5.0 has created innovative new prospects leading to the production of more environmentally friendly projects, services, and products. However, the available investigation of Industry 5.0 for sustainability is still in its early stages, with f…
  openalex Maria Ijaz Baig, Elaheh Yadegaridehkordi 2023-07-26 置信度 0.72 SustainabilitySystematic reviewSustainability organizationsKnowledge managementSustainability science
• The effect of medical explanations from large language models on diagnostic accuracy in radiology
  Large language models (LLMs) are increasingly used by physicians for diagnostic support. A key advantage of LLMs is the ability to generate explanations that can help physicians understand the reasoning behind a diagnosis. However, the best-suited format for L…
  openalex Philipp Spitzer, Daniel Hendriks, Jan Rudolph, Sarah Schlaeger 等 2026-04-23 置信度 0.72 VignetteDiagnostic accuracyMedical imagingMedical diagnosisMedicine
• Present and future of machine learning in breast surgery: systematic review
  BACKGROUND: Machine learning is a set of models and methods that can automatically detect patterns in vast amounts of data, extract information, and use it to perform decision-making under uncertain conditions. The potential of machine learning is significant,…
  openalex Chien Lin Soh, Viraj Shah, Arian Arjomandi Rad, Robert Vardanyan 等 2022-08-10 置信度 0.72 MedicineMachine learningArtificial intelligenceMEDLINEContext (archaeology)
• ProtoSAM-3D: Interactive semantic segmentation in volumetric medical imaging via a Segment Anything Model and mask-level prototypes
  openalex Yiqing Shen, David Dreizin, Blanca Íñigo, Mathias Unberath 2025-02-01 置信度 0.72 Computer scienceSegmentationArtificial intelligenceExploitGeneralization
• Maintenance 5.0: Towards a Worker-in-the-Loop Framework for Resilient Smart Manufacturing
  Due to the global uncertainty caused by social problems such as COVID-19 and the war in Ukraine, companies have opted for the use of emerging technologies, to produce more with fewer resources and thus maintain their productivity; that is why the market for we…
  openalex Alejandro Cortés-Leal, César Cárdenas, Carolina Del-Valle-Soto 2022-11-08 置信度 0.72 Resilience (materials science)ProductivityEmerging technologiesComputer scienceRisk analysis (engineering)
• Wearable Devices and Health Monitoring
  The integration of wearable devices, big data, and artificial intelligence (AI) has revolutionized remote patient care and health monitoring. These technologies enable the continuous and real-time collection of various physiological and behavioral data from in…
  openalex S. Kanakaprabha, G. Ganesh Kumar, Bhargavi Peddi Reddy, Yallapragada Ravi Raju 等 2024-10-09 置信度 0.72 Wearable computerWearable technologyComputer scienceData scienceEmbedded system
• Use and Public Reporting of Predetermined Change Control Plans for AI-Enabled Medical Devices
  This cross-sectional study describes predetermined change control plan use among artificial intelligence (AI)–enabled medical devices and the comprehensiveness of public reporting documenting predetermined change control plans.
  openalex Patryk A. Dabek, Florence T. Bourgeois, A. Stern, Yi Zhu 等 2026-05-22 置信度 0.72 Control (management)Plan (archaeology)BusinessRisk analysis (engineering)Process management
• Artificial Intelligence in Oral and Maxillofacial Surgery: A Cross-Sectional Study of Knowledge, Attitudes, and Clinical Adoption among Surgeons and Trainees
  To investigate how oral and maxillofacial surgery (OMS) clinicians and trainees perceive and apply artificial intelligence (AI), examining their familiarity, viewpoints, and behaviors regarding its role in OMS clinical care and education. A cross-sectional que…
  openalex María Hernández, Carlos Vega 2025-01-01 置信度 0.72 MedicineMedical educationOral and maxillofacial surgeryMEDLINEPatient care
• On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)
  Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning. Despite their successes in l…
  openalex Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song 等 2024-03-20 置信度 0.72 Foundation (evidence)Computer scienceData sciencePolitical scienceLaw
• Marine Spatial Planning Connects Digital Technology, Excavation Equipment with Artificial Intelligence, Internet of Things for Underwater Heritage Investigation
  Abstract BackgroundUnderwater cultural heritage (UCH) as a time capsule had accumulated marine ecological biological resources for centuries since sinking until discovery, forming an ecosystem wildly involves multifaceted fields. ProblemThe convention on the U…
  openalex Victor Te Cheng Liao 2020-07-23 置信度 0.72 JurisdictionConventionPoliticsThe InternetEngineering
• Artificial intelligence application in the prediction of spontaneous preterm birth by cervical length in the first trimester of pregnancy: Comparison of three measurement methods
  OBJECTIVES: The current study evaluates the efficacy of artificial intelligence (AI)-assisted measurement of cervical length (CL) in predicting spontaneous preterm birth (sPTB), comparing the traditional single-line and two-line methods with the innovative AI-…
  openalex Yi‐Yun Tai, Bor‐Yann Tseng, Zhu‐Han Yang, Yu Ch 等 2026-01-09 置信度 0.72 MedicineFirst trimesterObstetricsSecond trimesterPrenatal diagnosis
• Review of current progress on additive manufacturing of medical implants and natural/synthetic fibre reinforced composites
  Abstract Additive manufacturing, or 3D printing technique, is a technology that uses computerized information to generate three‐dimensional solid objects. These objects are produced by feed‐stocking and fusing materials layer by layer. Compared to conventional…
  openalex C. Nsanzumuhire, Oluyemi Ojo Daramola, Isiaka Oluwole Oladele, Akeem Damilola Akinwekomi 2025-01-01 置信度 0.72 Composite materialMaterials scienceSynthetic fiberCurrent (fluid)Engineering
• ReclAIm: A Multiagent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI
  A multiagent framework enabled automated monitoring and correction of performance decline in medical image classification models through natural language interaction, supporting reliable model maintenance in medical imaging artificial intelligence.
  openalex Eleftherios Tzanis, Michail E. Klontzas 2026-06-03 置信度 0.72 Computer scienceReliability (semiconductor)Medical imagingArtificial intelligenceClinical Practice
• Advancing AI Competency in Graduate Medical Education: A Developmental Framework
  The integration of artificial intelligence (AI) into health care is no longer a scenario reserved for science fiction; it is rapidly becoming a critical component of clinical practice.1 A 2024 survey of 43 U.S. health systems found that 100% had implemented AI…
  openalex Tauhid Mahmud, Yuri T. Jadotte, Dorothy Lane 2026-02-04 置信度 0.72 Medical educationPsychologyEngineering ethicsMedicineMEDLINE
• Machine learning in vascular surgery: a systematic review and critical appraisal
  Machine learning (ML) is a rapidly advancing field with increasing utility in health care. We conducted a systematic review and critical appraisal of ML applications in vascular surgery. MEDLINE, Embase, and Cochrane CENTRAL were searched from inception to Mar…
  openalex Ben Li, Tiam Feridooni, César Cuen-Ojeda, Teruko Kishibe 等 2022-01-19 置信度 0.72 MedicineCritical appraisalVascular surgeryMEDLINESystematic review
• Chaotic Organic Crystal Phosphorescent Patterns for Physical Unclonable Functions
  Abstract Since the 4th Industrial Revolution, Internet of Things based environments have been widely used in various fields ranging from mobile to medical devices. Simultaneously, information leakage and hacking risks have also increased significantly, and sec…
  openalex Healin Im, Jinsik Yoon, Jinho Choi, Jinsang Kim 等 2021-09-12 置信度 0.72 Materials sciencePhosphorescenceChaoticPhysical unclonable functionCrystal (programming language)
• Policies and Guidelines for the Use of Artificial Intelligence in Latin American Journals Indexed in Scopus and Classified According to the Scimago Journal Rank (SJR)
  The emergence of artificial intelligence tools in scientific production is generating significant challenges for scientific integrity and editorial governance, prompting journals and publishers to develop normative guidelines for their use. This study analyzes…
  openalex Cristian Zahn-Muñoz, Patricio Viancos, Nancy Alarcón-Henríquez, Bastián Aravena-Niño 等 2026-03-06 置信度 0.72 ScopusNormativeRank (graph theory)Quality (philosophy)Latin Americans
• Membership Inference Attacks on Machine Learning: A Survey
  Machine learning (ML) models have been widely applied to various applications, including image classification, text generation, audio recognition, and graph data analysis. However, recent studies have shown that ML models are vulnerable to membership inference…
  openalex Hongsheng Hu, Zoran Salčić, Lichao Sun, Gillian Dobbie 等 2022-01-31 置信度 0.72 Computer scienceInferenceMachine learningData scienceArtificial intelligence
• Artificial Intelligence-Assisted Quantification of Longitudinal HRCT Changes During Treatment of Pulmonary Tuberculosis: An Exploratory Proof-of-Concept Study
  Background: Treatment monitoring in pulmonary tuberculosis increasingly requires assessment of residual inflammatory burden and structural lung damage beyond microbiologic response alone. High-resolution computed tomography (HRCT) can provide this information,…
  openalex A Russo, Vittorio Patanè, Francesco Ruotolo, Maria Chiara Brunese 等 2026-06-12 置信度 0.72 HoneycombingMedicineRadiologyLungHigh-resolution computed tomography
• A Quick Guide to Somalia in 2026: Business as Usual
  The political and developmental challenges confronting Somalia are entrenched and unlikely to change significantly over the next five years. This is notably so for the transfer of security and policing responsibilities from international organizations to Somal…
  openalex Alice Hills 2021-07-03 置信度 0.72 SomaliClanPolitical sciencePoliticsPolitical economy
• GenAI-Supported Virtual Patients in Health Care Education: Systematic Review
  Background: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive interactions, reshaping how clinical skills are taught. A synthesis of the current evidence is needed to guid…
  openalex Juming Jiang, Megan Zichen Ye, T Kwok, Janet Yuen Ha Wong 2026-05-07 置信度 0.72 Health careModalitiesPaceSystematic reviewInclusion (mineral)
• Exploring the phenomenon and ethical issues of AI paternalism in health apps
  Health apps, including consumer-oriented fitness apps, have two functions. They are supposed to monitor and promote users' health, the latter by way of being an instance of persuasive technology. The use of artificial intelligence (AI) allows for AI health app…
  openalex Michael Kühler 2021-05-24 置信度 0.72 PaternalismPhenomenonHealth carePerspective (graphical)Order (exchange)
• Diagnosis of pharyngeal cancer on endoscopic video images by Mask region‐based convolutional neural network
  OBJECTIVES: We aimed to develop an artificial intelligence (AI) system for the real-time diagnosis of pharyngeal cancers. METHODS: Endoscopic video images and still images of pharyngeal cancer treated in our facility were collected. A total of 4559 images of p…
  openalex Mitsuhiro Kono, Ryu Ishihara, Yusuke Kato, Muneaki Miyake 等 2020-07-27 置信度 0.72 PharynxMedicineConvolutional neural networkArtificial intelligenceCancer
• Artificial Intelligence for Pulmonary Abnormality Detection in Chest X-Ray Imaging: A Detailed Review of Methods, Datasets and Future Directions
  Chest X-ray (CXR) imaging remains the most widely used radiological modality for assessing pulmonary and cardiothoracic disease, yet its interpretation is inherently constrained by tissue superposition, subtle radiographic findings and marked inter-observer va…
  openalex G. Parra-Cabrera, J. J. Jiménez-Delgado, F. D. Pérez-Cano 2026-02-28 置信度 0.72 Artificial intelligenceComputer scienceRobustness (evolution)AbnormalityModality (human–computer interaction)
• Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach
  OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make this process…
  openalex Byron Wallace, Anna H Noel-Storr, Iain Marshall, Aaron Cohen 等 2017-05-18 置信度 0.72 CrowdsourcingRandomized controlled trialComputer scienceArtificial intelligenceMachine learning
• The intelligent experience inheritance system for Traditional Chinese Medicine
  The inheritance of knowledge and experience was crucial to the development of Traditional Chinese Medicine (TCM). However, the existing methods of inheriting the unique clinical experience of famous veteran TCM doctors still followed the outdated and inefficie…
  openalex Xue Ren, Yan Guo, Heyuan Wang, Xiang Gao 等 2023-03-01 置信度 0.72 Inheritance (genetic algorithm)StandardizationMedical prescriptionSchema (genetic algorithms)Similarity (geometry)
• An Anthropological Understanding of Artificial Intelligence Transformations in Civic and Domestic Life, Labor, and Higher Education Through the Cybernetic Organism (Cyborg) Concept
  Este ensayo utiliza la antropología cyborg para modelar las interacciones entre los humanos y la inteligencia artificial (ia), y destaca las fortalezas y limitaciones de la iaen relación con el aprendizaje y la innovación. Basados en el énfasis de Haraway en l…
  openalex Joshua Wells, James M. Vanderveen 2026-01-01 置信度 0.72 SociologyHumanitiesPhilosophyEpistemologyHuman being
• Andes virus outbreak linked to expedition cruise ship travel, multi-country investigation and response, April to June 2026
  As at 9 July 2026 †† , 13 cases (12 confirmed and one probable) of Andes orthohantavirus have been reported (case fatality: 23%), linked to the Dutch-flagged expedition cruise ship m/v Hondius . The event involved individuals from 23 nationalities and required…
  openalex O Berg, UKHSA ANDV Team, Ettore Severi, Freddy Mutoka-Banza 等 2026-06-18 置信度 0.72 CruiseQuarantineOutbreakCrewGeography
• Forecasting Cancer Incidence in Canada by Age, Sex, and Region Until 2026 Using Machine Learning Techniques
  This study analyzes cancer trends in Canada using machine learning techniques to extract insights from extensive cancer data sourced from the Canadian Cancer Society and Statistics Canada. It aims to enhance the understanding of cancer epidemiology and inform …
  openalex Ehsan Kaviani, Kalpdrum Passi 2025-05-04 置信度 0.72 Incidence (geometry)Cancer incidenceCancerComputer scienceArtificial intelligence
• Underrepresentation of children in public medical imaging datasets
  Abstract Artificial intelligence (AI) has the potential to transform healthcare for all patients. Yet, there are disproportionately fewer paediatric AI studies and US Food and Drug Administration approvals relative to adults, indicating less effort focused on …
  openalex Stanley Bryan Z. Hua, Nicholas Heller, Ping He, Alexander J. Towbin 等 2026-04-24 置信度 0.72 Public healthMetadataFood and drug administrationMedicineMedical imaging
• Lignins as Promising Renewable Biopolymers and Bioactive Compounds for High-Performance Materials
  The recycling of biomass into high-value-added materials requires important developments in research and technology to create a sustainable circular economy. Lignin, as a component of biomass, is a multipurpose aromatic polymer with a significant potential to …
  openalex Cornelia Vasile, Mihaela Baican 2023-07-26 置信度 0.72 LigninBiopolymerBiomass (ecology)Raw materialDrug delivery
• Opportunistic Screening on PET/CT and SPECT/CT in the Era of Artificial Intelligence. Part 1. Structural Biomarkers from the Coregistered CT
  openalex Suk Hyun Lee 2026-07-16 置信度 0.72 MedicineWorkflowMedical physicsRadiation exposureIntensive care medicine
• Discovery of a Novel DCAF1 Ligand Using a Drug–Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets
  E3 ubiquitin ligases. The WDR domain of DCAF1 serves as a binding platform for substrate proteins and is also targeted by HIV and SIV lentiviral adaptors to induce the ubiquitination and proteasomal degradation of antiviral host factors. It is therefore attrac…
  openalex Serah Kimani, Julie Owen, Stuart R. Green, Fengling Li 等 2023-06-23 置信度 0.72 CheminformaticsUbiquitin ligaseVirtual screeningDrug discoveryDocking (animal)
• Application of Data-Based Artificial Intelligence in the Aviation Industry: A Conceptual-Analytic Review of Machine Learning and Deep Learning Methods
  Abstract: The aviation industry, as a complex and safety-sensitive technical-operational system, faces a huge volume of heterogeneous data, including flight time series, aircraft and engine health data, spatial and temporal air traffic data, meteorological dat…
  openalex Mortza Narimanidehnavi 2026-03-15 置信度 0.72 Artificial intelligenceAviationDeep learningMachine learningComputer science
• Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics
  In this review, we give a brief outline of robot-mediated gait training for stroke patients, as an important emerging field in rehabilitation. Technological innovations are allowing rehabilitation to move toward more integrated processes, with improved efficie…
  openalex Giovanni Morone, Stefano Paolucci, Andrea Cherubini, Domenico De Angelis 等 2017-05-01 置信度 0.72 NeurorehabilitationRobotRoboticsRehabilitationExoskeleton
• Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review
  Human healthcare is one of the most important topics for society. It tries to find the correct effective and robust disease detection as soon as possible to patients receipt the appropriate cares. Because this detection is often a difficult task, it becomes ne…
  openalex Nuria Caballé, José L. Castillo, Juan A. Gómez‐Pulido, José Manuel Gómez Pulido 等 2020-07-26 置信度 0.72 Computer scienceScopusField (mathematics)Artificial intelligenceData science
• Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions
  Summary The recent wave of creating an interconnected world through satellites has renewed interest in satellite communications. Private and government‐funded space agencies are making advancements in the creation of satellite constellations, and the introduct…
  openalex A.B. Bhattacharyya, Shvetha M. Nambiar, Ritwik Ojha, Amogh Gyaneshwar 等 2023-05-14 置信度 0.72 Computer scienceCommunications satelliteSatelliteTelecommunicationsOpen research
• Efficient Group Blind Signature for Medical Data Anonymous Authentication in Blockchain-Enabled IoMT
  Blockchain technology promotes the development of the Internet of medical things (IoMT) from the centralized form to distributed trust mode as blockchain-based Internet of medical things (BIoMT). Although blockchain improves ... | Find, read and cite all the r…
  openalex Chaoyang Li, Bohao Jiang, Yanbu Guo, Xiangjun Xin 2023-01-01 置信度 0.72 Computer scienceAnonymityComputer securityData sharingAuthentication (law)
• The Diabetic Retinopathy “Pandemic” and Evolving Global Strategies: The 2023 Friedenwald Lecture
  D iabetes mellitus and diabetic retinopathy (DR) are diseases that pose global public health challenges on a massive scale.Professor Andrew Boulton, President of the International Diabetes Federation (IDF), recently declared diabetes a "pandemic of unprecedent…
  openalex Tien Yin Wong, Tien‐En Tan 2023-12-28 置信度 0.72 PandemicMedicineDiabetic retinopathyCoronavirus disease 2019 (COVID-19)Ophthalmology
• Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
  BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold standard for monitoring the wellbeing of the foetus during antenatal care. However, inter- and intra-observer variability is high with only a 30% positive predic…
  openalex Paul Fergus, Abir Hussain, Dhiya Al‐Jumeily, De-Shuang Huang 等 2017-07-06 置信度 0.72 CardiotocographyCaesarean sectionMedicineMachine learningArtificial intelligence
• Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images
  The use of Artificial intelligence (AI) algorithms for detecting different ophthalmic diseases, especially diabetic retinopathy (DR), has become increasingly popular. In this paper, we evaluate the screening performance of different AI algorithms based on conv…
  openalex Josep Vidal, Alba Arocas Bonache, Jordi Solé-Casals, Dídac Royo Fibla 等 2026-03-10 置信度 0.72 GlaucomaArtificial intelligenceConvolutional neural networkFundus (uterus)Diabetic retinopathy
• Application of AI in engineering education: A bibliometric study
  Abstract The integration of artificial intelligence (AI) into engineering education is essential for fostering innovation, strategic thinking and interdisciplinary skills in the intelligent era. On this basis, this study aims to track and visually represent th…
  openalex Yipin Liu, Yuhui Jing, Jing Li, Jian Dai 等 2025-02-18 置信度 0.72 Computer scienceEngineeringData science
• A decision-making framework using weighted aggregated sum product assessment for artificial intelligence based blockchain integration
  crossref Sumera Naz, Muhammad Ramzan Saeed, Shariq Aziz Butt, Jorge Diaz-Martinez 等 2026-07-25T15:14:28Z 置信度 0.70
• SUVI: Scalable Unified Vector Intelligence for Efficient Edge Deployment
  Many multimodal language models are implemented as dual-tower systems that combine a language model with a separate visual encoder. This design is effective, but it also adds parameters, runtime complexity, and memory overhead. SUVI (Scalable Unified Vector In…
  crossref Nakul Vyas 2026-06-01T19:33:50Z 置信度 0.70
• Artificial intelligence in hernia surgery: an emerging revolution
  We are pleased to introduce the first Artificial Intelligence Surgery Special Issue of 2026, a year that promises continued advances in artificial intelligence and its integration into surgical practice.
  crossref Toby Collins, Jacques Marescaux 2026-08-27T11:32:01Z 置信度 0.70
• Dynamic topology-constrained spatiotemporal network for cognitive state decoding
  crossref Dingming Wu, Meng Tang, Shihong Liu 2025-12-11T10:17:42Z 置信度 0.70
• Redefining Accounting With Artificial Intelligence: Tools, Trends, and Transformation
  Abstract This chapter explores how artificial intelligence (AI) is reshaping the accounting industry by improving the speed, accuracy, and productivity of financial operations. This chapter looks at how AI is being used in different areas of accounting, includ…
  crossref LaCurtis Powell, Nizar Mohammad Alsharari 2026-07-21T05:23:11Z 置信度 0.70
• Artificial Intelligence and Bias in Education: A Mini-Review
  Artificial intelligence (AI) is reshaping the educational landscape throughadaptive learning systems, automated assessment, and predictive analytics. While theseinnovations promise personalization, efficiency, and scalability, they also raise pressingethical c…
  crossref Stefania Tomasiello, Adriana Barone, Saverio Romeo 2026-01-28T20:15:12Z 置信度 0.70
• Artificial intelligence in drug delivery
  Incorporating artificial intelligence (AI) into drug delivery systems marks a major leap forward in contemporary healthcare, introducing novel methods to improve the accuracy and efficiency of treatment outcomes. Harnessing artificial intelligence in therapeut…
  crossref Ira Singh, Santosh Kumar, Joonseok Koh, Abilio J.F.N. Sobral 2026-02-02T14:23:57Z 置信度 0.70
• 112 Historical Facets of Artificial Intelligence
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• Artificial Intelligence in Literacy Education
  Artificial intelligence tools are entering K–12 literacy classrooms at an unprecedented rate, yet most have not undergone independent validation. This brief examines how educators can evaluate AI tools through the lens of cognitive science and instructional de…
  crossref Megan Gierka, Timothy Odegard 2026-03-09T21:37:09Z 置信度 0.70
• Decentral Intelligence Agency: The Law and Autonomous Artificial Intelligence
  crossref Andrew W. Torrance, Bill Tomlinson 2026-01-29T17:18:52Z 置信度 0.70
• Reform of the Teaching Mode of Logistics Engineering Courses Under the Background of Artificial Intelligence
  With the rapid development of Artificial Intelligence (AI) technology, its application in the field of education is becoming more and more widespread, especially in interdisciplinary curriculum reform shows great potential. This paper takes the core course “In…
  crossref Zezhi Yuan, Jiawei Sun 2026-01-16T11:08:27Z 置信度 0.70
• Compressor aerodynamic design based on artificial intelligence: Literature review and future direction
  crossref Quanyong Xu, Yanjie Li 2026-03-07T08:02:05Z 置信度 0.70
• Opinion dynamics with median aggregation
  Understanding the formation and evolution of opinions is of broad interdisciplinary interest. Many classical models for opinion formation focus on the impact of different notions of locality , e.g., locality due to network effects among agents or the role of t…
  crossref Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Marten Maack 等 2026-03-31T03:39:00Z 置信度 0.70
• ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network
  Convolutional Neural Networks (CNNs) have achieved significant success in classifying radiology images; however, their implementation often resembles a "black box," limiting medical practitioners' ability to comprehend and trust the decisions made due to a lac…
  crossref Prateek Sarangi, Riya Agarwal, Tanmay Basu 2025-12-03T16:33:13Z 置信度 0.70
• Beyond the Age Gap: Longitudinal Aging Velocity as a Dynamic Biomarker in Chest Radiography
  crossref Paul S. Babyn 2026-04-29T13:47:05Z 置信度 0.70
• Research on Intelligent Prediction Method of ETOPS Running Time Based on Artificial Intelligence
  crossref Ruibo Wang 2026-08-21T19:11:13Z 置信度 0.70
• Detection of melanoma using deep features and fuzzy evolutionary feature selection
  crossref Emrah Hancer, Abdulhamit Subasi 2026-07-25T17:51:05Z 置信度 0.70
• Research on Teaching Reform in International Trade Course Assisted by Artificial Intelligence
  With the advancement of economic globalization and regional economic integration, there is a growing demand for practical talents in international trade who are skilled in the use of foreign languages and proficient in e-commerce. Therefore, the teaching of th…
  crossref Jixu Zhu, Muhamad Zulkiflee Osman, Xiaoshi Chen 2026-01-16T11:08:18Z 置信度 0.70
• LLM Label Noise and the Established Framework of Imperfect Reference Standard Bias
  crossref Jeong Hyun Lee, Jaeseung Shin 2026-05-06T13:46:59Z 置信度 0.70
• INVESTIGATING THE DETERMINANTS OF BUSINESS PERFORMANCE: THE INTERPLAY OF ARTIFICIAL INTELLIGENCE-INTEGRATED CUSTOMER RELATIONSHIP MANAGEMENT, STRATEGIC ARTIFICIAL INTELLIGENCE INVESTMENTS, AND ORGANIZATIONAL CAPABILITIES
  crossref Manimangalam, Praveen 2026-07-25T14:43:18Z 置信度 0.70
• Artificial Intelligence in Hip-Hop Media
  This chapter investigates how artificial intelligence (AI) shapes the representation of women in African hip-hop media and how these portrayals influence youth perceptions and reinforce rape culture. Using feminist media theory and cultivation theory, the rese…
  crossref Aminat Sheriff Owolabi 2026-08-28T22:15:13Z 置信度 0.70
• Governing Intelligence: Islamic Institutional Design and the Global Governance of Artificial Intelligence
  Global governance scholarship has documented a persistent institutional deficit in the international architecture for AI oversight, produced by the fragmentation of existing multilateral initiatives and the absence of proven design precedents. This article adv…
  crossref Amjad Hammad 2026-04-30T17:43:06Z 置信度 0.70
• Climate Change Prediction Using Artificial Intelligence
  Climate change is one of the most critical global issues affecting temperature, rainfall patterns, sea levels, and the frequency of extreme weather events. Accurate prediction of climate change is essential for disaster management, agriculture planning, and su…
  crossref Rutuja Kamble 2026-07-29T13:27:46Z 置信度 0.70
• Introduction to Artificial Intelligence in Healthcare
  Artificial Intelligence (AI) has emerged as a transformative technology that is revolutionizing healthcare delivery worldwide. By enabling machines and computer systems to perform tasks that traditionally require human intelligence, AI has significantly enhanc…
  crossref Shalini Devi 2026-06-26T06:56:25Z 置信度 0.70
• Machine learning in modern database systems: Techniques, architectures, and deployment challenges
  crossref Elias Dritsas, Maria Trigka 2026-02-20T07:49:07Z 置信度 0.70
• Artificial Intelligence and Environmental Sustainability: A Path Toward a Greener Future
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• Can artificial intelligence replace human teachers? Preservice teachers’ perspectives on AI in education through the TPACK framework
  Purpose This study investigates how preservice teachers perceive the role of artificial intelligence (AI) as a non-human instructor in both higher education (HE) and mainstream school contexts. It also examines their views on the potential for AI to replace hu…
  crossref Michael James Day 2026-04-28T20:05:31Z 置信度 0.70
• Artificial Intelligence and Medical Practice: Between Technological Promise and Cognitive Responsibility
  Artificial intelligence (AI) has been rapidly incorporated into medical practice, not as a peripheral innovation but as an element that is reshaping clinical, educational, and organizational processes.Like earlier transformations-such as the computerization of…
  crossref Diego Javier Martínez 2026-01-22T16:37:27Z 置信度 0.70
• Hybrid Teaching of College English Translation Based on Artificial Intelligence Technology
  crossref Xiaolei Song 2026-05-06T23:56:33Z 置信度 0.70
• Advances in dissolved gas analysis for power transformer diagnostics: From traditional methods to artificial intelligence driven prognostics
  crossref Gandi Ramarao, K Dhananjay Rao, Prasad Chongala, P. Pavani 等 2026-06-17T03:23:42Z 置信度 0.70
• Unleashing human potential: An artificial intelligence competency framework for K–12 education
  This study explores strategic approaches for integrating artificial intelligence (AI) into K–12 education to prepare learners for the AI era. It addresses two critical questions: 1) What are the key components of AI competency frameworks identified in current …
  crossref Siu Cheung Kong, Wenxi Hu 2026-02-10T00:31:53Z 置信度 0.70
• Introduction: Artificial Intelligence and Government
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• Artificial Intelligence in Sales Operations
  Global investment in the AI market has exceeded hundreds of billions of dollars and is still in its infancy. Enterprise-level tools that span sales workflows, including lead generation, CPQ, and other workflows have already integrated AI capabilities that are …
  crossref James Martin 2026-04-09T18:11:25Z 置信度 0.70
• Artificial Intelligence in Medical Imaging for Developing Countries
  India is one of the nations in the world with the most need for state-of-the-art, reasonable, and accessible healthcare innovations to make better lives due to the shortage of qualified healthcare professionals, facilities, and low government investment in hea…
  crossref Balwinder Singh, Mandeep Singh, Rekha Devi 2023-06-16T23:04:16Z 置信度 0.70
• Machine learning and pre-medical education
  Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innova…
  crossref Vijaya B. Kolachalama 2022-05-04T07:22:17Z 置信度 0.70
• Forecasting the Power Generation of Wind Turbines through Advanced Artificial Intelligence Techniques
  This analysis concerns the evaluation and modelling of wind turbine energy output using sophisticated Artificial Intelligence (AI) techniques. These include Machine Learning (ML), which makes use of polynomial regression, and Deep Learning (DL), which employs …
  crossref Manik Rakhra, Tiyas Sarkar, Vikas Verma 2026-07-21T04:18:59Z 置信度 0.70
• Artificial intelligence in non-medical and non-nuclear power applications of nuclear radiation: A review
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