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• LungDiag: Empowering artificial intelligence for respiratory diseases diagnosis based on electronic health records, a multicenter study
  Abstract Respiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads to misdiagnosis or delayed treatment. To address this issue, we developed LungDiag, a…
  openalex Hengrui Liang, Tao Yang, Zi-Hao Liu, Wenhua Jian 等 2025-01-01 置信度 0.72 Generalizability theoryMedical diagnosisMedicineArtificial intelligenceHealth records
• Artificial Intelligence in Melanoma Detection: A Review of Current Technologies and Future Directions
  Early and accurate identification of malignant melanoma continues to be a major challenge for clinicians in the field. Traditional diagnostic approaches, including physical examination, histology, imaging, and nodal assessments, are frequently costly, require …
  openalex Fakhre Alam, Asad Ullah, Dilawar Shah, Shujaat Ali 等 2025-01-01 置信度 0.72 Current (fluid)Computer scienceArtificial intelligenceEngineeringElectrical engineering
• Application and research progress on artificial intelligence in the quality of Traditional Chinese Medicine
  The clinical safety and therapeutic performance of Traditional Chinese Medicine (TCM) are closely tied to its quality. However, with the rapid expansion of the TCM industry, conventional quality control approaches based on empirical observations and single-met…
  openalex Meiyu Li, Junqing Zhu, Xiaonan L. Liu, Mengyue Wu 等 2025-10-17 置信度 0.72 Quality (philosophy)Computer scienceArtificial intelligenceIdentification (biology)Risk analysis (engineering)
• Applications and Performance of Artificial Intelligence in Spinal Metastasis Imaging: A Systematic Review
  Background: Spinal metastasis is the third most common site for metastatic localization, following the lung and liver. Manual detection through imaging modalities such as CT, MRI, PET, and bone scintigraphy can be costly and inefficient. Preliminary artificial…
  openalex Vivek Sanker, Poorvikha Gowda, Alexander Thaller, Zhikai Li 等 2025-08-20 置信度 0.72 MedicineReceiver operating characteristicArtificial intelligenceMachine learningMetastasis
• Performance of Advanced Artificial Intelligence Models in Pulp Therapy for Immature Permanent Teeth: A Comparison of ChatGPT-4 Omni, DeepSeek, and Gemini Advanced in Accuracy, Completeness, Response Time, and Readability
  INTRODUCTION: This study aims to evaluate and compare the performance of three advanced chatbots-ChatGPT-4 Omni (ChatGPT-4o), DeepSeek, and Gemini Advanced-on answering questions related to pulp therapies for immature permanent teeth. The primary outcomes asse…
  openalex Berkant Sezer, Tuğba Aydoğdu 2025-08-22 置信度 0.72 ReadabilityComputer scienceCompleteness (order theory)Pulp (tooth)Permanent teeth
• Smart technology framework for medical waste optimization by integrating wireless tracking with artificial intelligence classification
  In this study, we developed and validated an integrated Radio Frequency Identification-Artificial Intelligence (RFID-AI) framework to optimize medical waste management in resource-constrained healthcare settings. The system combines: (1) UHF RFID-enabled smart…
  openalex Ahmed N. Bdour, Raha M. Kharabsheh 2025-01-01 置信度 0.72 Medical wasteTracking (education)Computer scienceArtificial intelligenceWireless
• A foundation model for human-AI collaboration in medical literature mining
  Applying artificial intelligence (AI) for systematic literature review holds great potential for enhancing evidence-based medicine, yet has been limited by insufficient training and evaluation. Here, we present LEADS, an AI foundation model trained on 633,759 …
  openalex Zifeng Wang, Lang Cao, Qiao Jin, Joey Wing Yan Chan 等 2025-09-24 置信度 0.72 WorkflowComputer scienceData extractionSystematic reviewFoundation (evidence)
• Object based image analysis for remote sensing
  Remote sensing imagery needs to be converted into tangible information which can be utilised in conjunction with other data sets, often within widely used Geographic Information Systems (GIS). As long as pixel sizes remained typically coarser than, or at the b…
  openalex Thomas Blaschke 2009-08-29 置信度 0.72 Computer scienceComputer visionRemote sensingArtificial intelligenceObject (grammar)
• Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?
  Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning (ML) models such as SABIER and SYSUPMIE…
  openalex Jack McHugh, Douglas W. Challener, Hussam Tabaja 2025-04-09 置信度 0.72 InterpretabilityArtificial intelligenceMachine learningInfective endocarditisArtificial neural network
• Artificial Intelligence Models in Diagnosis and Treatment of Kidney Diseases: Current Status and Prospects
  Background: Artificial intelligence (AI) has made significant advances in nephrology, revolutionizing the diagnosis, prognosis, and treatment of kidney diseases. Summary: This review provides an overview of AI applications in nephrology, introducing the basic …
  openalex Cheng Li, Jing Liu, Ping Fu, Jie Zou 2025-06-12 置信度 0.72 Current (fluid)Intensive care medicineMedicineEngineeringElectrical engineering
• Artificial intelligence-oriented predictive model for the risk of postpartum depression: a systematic review
  Introduction Postpartum depression (PPD) is a significant mental health concern affecting 3.5-33.0% of mothers worldwide, with potentially severe consequences for both maternal and infant well-being. The emergence of artificial intelligence (AI) and machine le…
  openalex Jie Xia, Chen Chen, Xiuqin Lu, Tengfei Zhang 等 2025-09-03 置信度 0.72 Postpartum depressionDepression (economics)Computer scienceSystematic reviewMedicine
• Synergizing DeepSeek's artificial intelligence innovations with brain–computer interfaces
  Abstract The integration of artificial intelligence (AI) and brain–computer interfaces (BCIs) represents a significant advancement in neurotechnology, with broad potential applications in healthcare, communication, and human augmentation. This study examines t…
  openalex Canbiao Wu, Nayu Chen, Tuo Sun, Ping Tan 等 2025-06-01 置信度 0.72 Computer scienceHuman–computer interactionCognitive scienceBrain–computer interfaceArtificial intelligence
• Artificial intelligence driven meat preservation technology: research progress, challenges, and future directions
  Abstract With the rapid advancement of artificial intelligence (AI) technology, its applications in food science have become increasingly widespread—particularly in the preservation of meat products—where it demonstrates substantial potential. This study syste…
  openalex F. Richard Yu, D. Zhang, Jiamin Zhang, W. Wang 等 2026-01-01 置信度 0.72 Product (mathematics)Quality (philosophy)New product developmentKey (lock)Computer science
• Radiographical diagnostic competences of dental students using various feedback methods and integrating an artificial intelligence application—A randomized clinical trial
  INTRODUCTION: Radiographic diagnostic competences are a primary focus of dental education. This study assessed two feedback methods to enhance learning outcomes and explored the feasibility of artificial intelligence (AI) to support education. MATERIALS AND ME…
  openalex Sarah Rampf, Holger Gehrig, Andreas Möltner, Martin Fischer 等 2024-07-31 置信度 0.72 MedicineDentistryDiagnostic accuracyRadiological weaponRandomized controlled trial
• The role of artificial intelligence in cardiovascular research: Fear less and live bolder
  BACKGROUND: Artificial intelligence (AI) has captured the attention of everyone, including cardiovascular (CV) clinicians and scientists. Moving beyond philosophical debates, modern cardiology cannot overlook AI's growing influence but must actively explore it…
  openalex Alessandro Scuricini, Davide Ramoni, Luca Liberale, Fabrizio Montecucco 等 2025-04-01 置信度 0.72 Engineering ethicsClinical PracticeFace (sociological concept)Artificial intelligencePrecision medicine
• Determination of the General Attitude to and Anxiety About Artificial Intelligence of Nurses Working in Internal Medicine Clinics: A Mixed‐Method Study
  AIM: To determine the concerns and general attitudes to artificial intelligence (AI) of nurses working in Internal Medicine clinics in Türkiye. BACKGROUND: In parallel with developments in technology in all areas, AI is actively used in the healthcare sector i…
  openalex Ahmet Seven, Ayşe Soylu, Dilek Soylu 2025-11-20 置信度 0.72 WorkloadNursingReliability (semiconductor)AnxietyHealth care
• Leashes, not guardrails: A management‐based approach to artificial intelligence risk regulation
  Calls to regulate artificial intelligence (AI) have sought to establish guardrails to protect the public against AI going awry. Although physical guardrails can lower risks on roadways by serving as fixed, immovable protective barriers, the regulatory equivale…
  openalex Cary Coglianese, Colton R. Crum 2025-05-29 置信度 0.72 Context (archaeology)Corporate governanceRisk analysis (engineering)Work (physics)Business
• Designing artificial intelligence chatbots for self-regulated learning from a systematic review based on Habermas's three interests
  Self-regulated learning (SRL) is widely acknowledged as a key driver of academic success and lifelong learning, yet learners often struggle to plan, monitor, and reflect effectively on their progress. Concurrently, advances in artificial intelligence (AI) chat…
  openalex Xiu-Yi Wu, Jeffrey Radloff, Ibrahim H. Yeter, Lei Wang 等 2025-10-06 置信度 0.72 Computer scienceChatbotArtificial intelligenceApplications of artificial intelligenceMultimedia
• Next-Generation Advances in Prostate Cancer Imaging and Artificial Intelligence Applications
  Prostate cancer is one of the leading causes of cancer-related morbidity and mortality worldwide, and imaging plays a critical role in its detection, localization, staging, treatment, and management. The advent of artificial intelligence (AI) has introduced tr…
  openalex Kathleen H. Miao, Julia H. Miao, Mark Finkelstein, Aritrick Chatterjee 等 2025-11-03 置信度 0.72 Prostate cancerMedicinePrecision medicineArtificial intelligenceMedical imaging
• Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review
  BACKGROUND: Conversational artificial intelligence (CAI) is emerging as a promising digital technology for mental health care. CAI apps, such as psychotherapeutic chatbots, are available in app stores, but their use raises ethical concerns. OBJECTIVE: We aimed…
  openalex Mehrdad Rahsepar Meadi, Tomas Sillekens, Suzanne Metselaar, Anton J.L.M. van Balkom 等 2025-02-21 置信度 0.72 PsycINFOMental healthScopusPsychologyMEDLINE
• The Risks of Artificial Intelligence in Mental Health Care
  Artificial intelligence (AI) has increasingly integrated into various aspects of healthcare, including diagnostics, care planning and patient management. In psychiatric healthcare specifically, conversational AI is seen as a potential solution to support psych…
  openalex Ceylon Dell 2024-09-28 置信度 0.72 Mental healthPsychologyMental health careMedicinePsychiatry
• Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review
  Background/Objectives: The aging population faces a multitude of health challenges, particularly when it comes to maintaining proper nutrition. Age-related physiological changes, such as decreased metabolism, diminished taste perception, and difficulty in chew…
  openalex Kingsley Kalu, Grace Ataguba, Oyepeju Onifade, Fidelia A. Orji 等 2025-10-14 置信度 0.72 Psychological interventionSystematic reviewIntervention (counseling)GerontologyMedicine
• Diagnostic performance of ultrasound characteristics-based artificial intelligence models for thyroid nodules: a systematic review and meta-analysis
  Background: Nowadays, artificial intelligence (AI) diagnostic models based on ultrasound features have been gradually integrated into the evaluation of thyroid nodules. However, the diagnostic effects of different AI-assisted diagnosis methods vary greatly. Ob…
  openalex Jianfeng Zhan, Jian Zhang, Shaoqi Zhu, Lin Ni 等 2025-09-03 置信度 0.72 Thyroid nodulesMeta-analysisUltrasoundMedicineThyroid
• Artificial Intelligence-Driven Personalization in Breast Cancer Screening: From Population Models to Individualized Protocols
  Conventional breast cancer screening programs are predominantly age-based, applying uniform intervals and modalities across broad populations. While this model has reduced mortality, it entails harms-including overdiagnosis, false positives, and missed interva…
  openalex Filippo Pesapane, Luca Nicosia, Lucrezia D’Amelio, Giulia Quercioli 等 2025-09-04 置信度 0.72 PersonalizationBreast cancerComputer sciencePopulationMedicine
• Scorecard for synthetic medical data evaluation
  Although the interest in synthetic medical data (SMD) for developing and testing artificial intelligence (AI) methods is growing, the absence of a comprehensive framework to evaluate the quality and applicability of SMD hinders its wider adoption. Here, we out…
  openalex Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Edward Margerrison 等 2025-07-21 置信度 0.72 Balanced scorecardComputer scienceMedicineBusinessProcess management
• Diagnosis melanoma with artificial intelligence systems: A meta‐analysis study and systematic review
  BACKGROUND: One of the most promising and rapidly advancing research areas in recent years is using dermoscopic images for automatic diagnosis with artificial intelligence and machine learning methods. OBJECTIVES: This study aimed to synthesize the existing st…
  openalex Gözde Ertürk Zararsız, Gözde Ertürk Zararsız, Serra İlayda Yerlitaş, Elif ÇELİK 等 2025-06-06 置信度 0.72 ChecklistMedicineArtificial intelligenceMeta-analysisMEDLINE
• Assessment of university students’ earthquake coping strategies using artificial intelligence methods
  Earthquakes are one of the most destructive natural disasters that pose a serious threat to human life and infrastructure worldwide. The aim of this study is to evaluate the coping strategies of adult individuals in Turkey regarding earthquake stress using art…
  openalex Süleyman Alpaslan Sulak, Niğmet Köklü 2025-08-29 置信度 0.72 Logistic regressionRandom forestCoping (psychology)Natural disasterComputer science
• Artificial Intelligence in Education (AIED): Towards More Effective Regulation
  Abstract This paper critically assesses the effectiveness of the EU AI Act in regulating artificial intelligence in higher education (AIED), with a focus on how it interacts with existing education regulation. It examines the growing use of high-risk AI system…
  openalex Liane Colonna 2025-08-28 置信度 0.72 AutonomyAccountabilityContext (archaeology)Political sciencePublic relations
• Revolutionizing endodontics: the impact and innovations of artificial intelligence
  BACKGROUND: Artificial intelligence (AI) has been increasingly applied in the diagnosis and treatment of endodontic conditions. This narrative review summarizes the current literature on AI applications in endodontics from a clinical workflow perspective, disc…
  openalex Xin Huang, Zijia Xu, Han Chen, Xin Guo 等 2026-01-21 置信度 0.72 WorkflowContext (archaeology)MedicineApplications of artificial intelligenceInterpretability
• Artificial intelligence-driven approaches for the rational design of peptides with predictable aggregation propensity
  The rapid development of artificial intelligence has enabled accurate and efficient de novo design of protein and peptide structures. However, applying AI to design sequences with specific aggregation tendencies remains challenging due to the need to span mult…
  openalex Shuo Yang, Jing Ren, Wenli Gao, Leitao Cao 等 2025-09-25 置信度 0.72 Rational designComputer scienceScalabilityArtificial intelligenceReinforcement learning
• Generative artificial intelligence for literature reviews
  Generative artificial intelligence (GenAI), based on large-language models (LLMs), such as ChatGPT, has taken organizations, academia, and the public by storm. In particular, impressive GenAI capabilities such as summarization of large text corpora, question-a…
  openalex Gerit Wagner, Julian Prester, Reza Mousavi, Roman Lukyanenko 等 2026-02-05 置信度 0.72 Automatic summarizationComputer scienceGenerative grammarPerspective (graphical)Management science
• Leveraging Artificial Intelligence in Business Intelligence Systems for Predictive Analytics
  Artificial Intelligence (AI) and Business Intelligence (BI) are rapidly emerging as the next big things for organizations to analyze data and gain insights. As this article will go on to examine, the concept of using AI for BI is one that has significant impli…
  openalex Amejuma Emmanuel Ebule 2025-01-17 置信度 0.72 Business intelligencePredictive analyticsBusiness analyticsAnalyticsComputer science
• BindingDB in 2024: a FAIR knowledgebase of protein-small molecule binding data
  BindingDB (bindingdb.org) is a public, web-accessible database of experimentally measured binding affinities between small molecules and proteins, which supports diverse applications including medicinal chemistry, biochemical pathway annotation, training of ar…
  openalex Tiqing Liu, Linda Hwang, S.K. Burley, Carmen I. Nitsche 等 2024-10-23 置信度 0.72 BiologySmall moleculePlasma protein bindingDNA-binding proteinComputational biology
• Advancements in Machine Learning and Artificial Intelligence in Polymer Science: A Comprehensive Review
  Abstract Technology, health care, and transport are merely some of the industries that historically rely on polymer‐based materials. In past centuries, the creation of innovative polymer materials has been dependent upon extensive experiments and error procedu…
  openalex Sheetal Mavi, S. P. Kadian, Pradeepta Kumar Sarangi, Ashok Kumar Sahoo 等 2025-02-01 置信度 0.72 Artificial intelligenceMaterials sciencePolymer scienceComputer scienceNanotechnology
• Integrating artificial intelligence into Ayurveda: Pathways, potentials, and challenges
  Introduction Ayurveda, the ancient system of holistic medicine, is grounded in experiential knowledge, personalized treatment approaches, and a comprehensive view of health and disease. Its time-tested principles continue to serve as a foundation for preventiv…
  openalex Rabinarayan Acharya 2025-05-01 置信度 0.72 Cognitive scienceArtificial intelligenceComputer scienceData scienceManagement science
• Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods
  The use of artificial intelligence (AI) holds great promise for radiation oncology, with many applications being reported in the literature, including some of which are already in clinical use. These are mainly in areas where AI provides benefits in efficiency…
  openalex Frank Hoebers, Leonard Wee, Jirapat Likitlersuang, Raymond H. Mak 等 2023-12-12 置信度 0.72 Radiation oncologyMedical physicsMedicineComputer scienceRadiation therapy
• Medical multimodal multitask foundation model for lung cancer screening
  Lung cancer screening (LCS) reduces mortality and involves vast multimodal data such as text, tables, and images. Fully mining such big data requires multitasking; otherwise, occult but important features may be overlooked, adversely affecting clinical managem…
  openalex Chuang Niu, Qing Lyu, Christopher D. Carothers, Parisa Kaviani 等 2025-02-11 置信度 0.72 Foundation (evidence)Computer scienceLung cancerCancerMedicine
• Development and Validation of an Artificial Intelligence–Assisted Patient Education Material for Ostomy Patients: A Methodological Study
  AIM: To develop and test the validity of an artificial intelligence-assisted patient education material for ostomy patients. DESIGN: A methodological study. METHODS: The study was carried out in two main stages and five steps: (1) determining the information n…
  openalex Hatice Yüceler Kaçmaz, Hilal Kahraman, Seda Akutay, Derya Dağdelen 2024-10-18 置信度 0.72 ReadabilityPatient educationIntraclass correlationContent validityMedicine
• A Practical Guide to Evaluating Artificial Intelligence Imaging Models in Scientific Literature
  Objective: Recent advances in artificial intelligence (AI) are revolutionizing ophthalmology by enhancing diagnostic accuracy, treatment planning, and patient management. However, a significant gap remains in practical guidance for ophthalmologists who lack AI…
  openalex Angela McCarthy, Ives A. Valenzuela, Royce W. S. Chen, Lora R. Dagi Glass 等 2025-06-09 置信度 0.72 Computer scienceArtificial intelligenceData scienceManagement scienceEngineering
• Empowering Generalist Material Intelligence with Large Language Models
  Large language models (LLMs) are steering the development of generalist materials intelligence (GMI), a unified framework integrating conceptual reasoning, computational modeling, and experimental validation. Central to this framework is the agent-in-the-loop …
  openalex Wenhao Yuan, Guangyao Chen, Zhilong Wang, Fengqi You 2025-05-12 置信度 0.72 Transformative learningKnowledge managementInterpretabilityComputer scienceFunction (biology)
• Artificial Intelligence in telemedicine and remote patient monitoring: Enhancing virtual healthcare through AI-driven diagnostic and predictive technologies
  The integration of Artificial Intelligence (AI) in telemedicine and remote patient monitoring has significantly transformed modern healthcare by enhancing accessibility, efficiency, and diagnostic precision. AI-powered technologies, including machine learning …
  openalex Malay Sarkar, Raktim Dey, Md Tuhin Mia 2025-05-24 置信度 0.72 TelemedicineHealth careComputer scienceArtificial intelligencePolitical science
• Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation
  Background: Lung cancer is one of the most common types of cancer and the leading cause of cancer death in the United Kingdom. Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on computed tom…
  openalex Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand 等 2025-05-01 置信度 0.72 MedicineSoftwareArtificial intelligenceRadiologyAlgorithm
• PROPOSED REGULATORY FRAMEWORK FOR MODIFICATIONS TO ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML)- BASED SOFTWARE AS A MEDICAL DEVICE (SAMD) IN US
  Computer systems can learn and adapt by implementing human intelligence, which is known as artificial intelligence (AI).When it used in combination with medical software, it creates an artificial intelligence (AI)-based medical device that uses in data and alg…
  openalex 2025-07-30 置信度 0.72 Artificial intelligenceComputer scienceSoftwareMachine learningOperating system
• The European Union’s Approach to Artificial Intelligence and the Challenge of Financial Systemic Risk
  Abstract This piece examines the EU’s ‘Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence’ (‘AI Act’) with a view to determining the extent to which it addresses the systemic risk cre…
  openalex Anat Keller, Clara Martins Pereira, Martinho Lucas Pires 2023-12-26 置信度 0.72 Systemic riskParliamentProportionality (law)European unionBusiness
• The Digital Divide in Action: How Experiences of Digital Technology Shape Future Relationships with Artificial Intelligence
  The digital divide remains an ongoing societal concern, with digital exclusion shown to have a significantly detrimental impact on people’s quality of life. Artificial intelligence (AI), the latest wave of digitalisation, is being integrated into the fabric of…
  openalex Sarah V. Bentley, Claire Naughtin, Melanie J. McGrath, Jessica Irons 等 2024-02-28 置信度 0.72 Action (physics)Computer scienceArtificial intelligenceCognitive scienceHuman–computer interaction
• Bioethical challenges in the integration of artificial intelligence in transplant surgery 4.0: A scoping review
  Introduction The integration of artificial intelligence (AI) into transplant surgery offers potential benefits, including enhanced precision and personalized patient care. However, these advancements raise critical ethical issues that must be addressed to ensu…
  openalex Nicolás Lozano-Suárez, Andrea Gómez-Montero, Maritza Jiménez-Gómez, Santiago Cabas 等 2025-05-01 置信度 0.72 DehumanizationBioethicsHealth careEthical issuesScopus
• Deep computer vision with artificial intelligence based sign language recognition to assist hearing and speech-impaired individuals
  Sign language (SL) is a non-verbal language applied by deaf and hard-of-hearing individuals for daily communication between them. Studies in SL recognition (SLR) have recently become essential developments. The current successes present the base for upcoming a…
  openalex Abrar Almjally, Wafa Almukadi 2025-09-01 置信度 0.72 Hearing impairedSign languageSpeech recognitionComputer scienceArtificial intelligence
• Research on the Transformation of Enterprise Marketing Strategy Driven by Artificial Intelligence
  This study explores the transformation of enterprise marketing strategies driven by artificial intelligence (AI) through two case studies: Beijing Nanshe Technology Co., Ltd. and Juran Design Home. Both companies, operating in different sectors, have embraced …
  openalex Lijuan Xie 2025-04-20 置信度 0.72 Transformation (genetics)BusinessProcess managementArtificial intelligenceComputer science
• Artificial intelligence in predicting anti-VEGF treatment response in diabetic macular edema: current progress and future directions
  Diabetic macular edema (DME), a leading cause of vision impairment in diabetes, is primarily treated with intravitreal anti-vascular endothelial growth factor (anti-VEGF) injections. However, variable treatment response rates often lead to persistent edema and…
  openalex Dan Cao, Jie Yao, Daniel Shu Wei Ting, Gavin Siew Wei Tan 2025-01-01 置信度 0.72 Optical coherence tomographyDiabetic macular edemaFluorescein angiographyMedicineOptical coherence tomography angiography
• Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views
  PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients. We explo…
  openalex Susan Moschogianis, Sarah Darley, Tessa Coulson, Niels Peek 等 2025-05-01 置信度 0.72 Primary careQualitative researchPsychologyNursingMedical education
• Artificial intelligence and dichotomania
  Abstract Large language models (LLMs) such as ChatGPT, Gemini, and Claude are increasingly being used in aid or place of human judgment and decision making. Indeed, academic researchers are increasingly using LLMs as a research tool. In this paper, we examine …
  openalex Blakeley B. McShane, David Gal, Adam Duhachek 2025-01-01 置信度 0.72 PsychologyArtificial intelligenceComputer science
• A survey on data‐efficient algorithms in big data era
  Abstract The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately, many application domains do not have access to big data because acquiring data involves a process that is expensive or time-consuming. This has triggered a serious …
  openalex Amina Adadi 2021-01-26 置信度 0.72 Computer scienceBig dataData scienceProcess (computing)Machine learning
• Generative artificial intelligence for sustainable development: predictive trend analysis in key sectors using natural language processing
  Generative Artificial Intelligence (GenAI) has revolutionized multiple industries by improving efficiency and promoting innovation in fields such as business, education, healthcare, and cybersecurity. This study evaluates the transformative impact of GenAI on …
  openalex Chetan Sharma, Shamneesh Sharma, Vivek Bhardwaj, Balwinder Kaur Dhaliwal 2025-06-04 置信度 0.72 Generative grammarKey (lock)Computer scienceArtificial intelligenceNatural (archaeology)
• Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews
  openalex Manuel Marques‐Cruz, F. Pinto, Rafael José Vieira, Antonio Bognanni 等 2025-08-25 置信度 0.72 Systematic reviewQuality assessmentMEDLINEMedicinePsychology
• Context-Aware Retrieval-Augmented Generation for Artificial Intelligence in Urology
  Background Artificial intelligence (AI) is increasingly being used in healthcare, particularly for interpreting complex medical queries. However, conventional AI models often generate inaccurate or irrelevant responses that are commonly termed hallucinations, …
  openalex Aadhitya Sriram, N Maheswaran, Bose Sundan, Sriram Krishnamoorthy 2025-07-17 置信度 0.72 MedicineContext (archaeology)UrologyArtificial intelligencePaleontology
• Multi‐model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss
  OBJECTIVE: To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three large language models (ChatGPT-4.0, Claude 3.7 Sonet, and OpenAI Mini 3) in managing sudden sensorineural hearing loss. STUDY DESIGN: Prospective, multi-domain co…
  openalex Aynur Aliyeva, Antiga Muradova, Ramil Hashimli, Togay Müderris 2026-01-28 置信度 0.72 MedicineAudiologyArtificial intelligenceSensorineural hearing lossArtificial neural network
• Artificial Intelligence in the Diagnosis of Pediatric Rare Diseases: From Real-World Data Toward a Personalized Medicine Approach
  Background: Artificial intelligence (AI) is increasingly applied in the diagnosis of pediatric rare diseases, enhancing the speed, accuracy, and accessibility of genetic interpretation. These advances support the ongoing shift toward personalized medicine in c…
  openalex Nikola Ilić, Adrijan Sarajlija 2025-09-01 置信度 0.72 Personalized medicineMedicineData scienceComputer scienceMedical physics
• Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
  Abstract Artificial Intelligence (AI) spreads quickly as new technologies and services take over modern society. The need to regulate AI design, development, and use is strictly necessary to avoid unethical and potentially dangerous consequences to humans. The…
  openalex Miriana Calvano, Antonio Curci, Giuseppe Desolda, Andrea Esposito 等 2025-11-18 置信度 0.72 Applications of artificial intelligencePhilosophy of sciencePerspective (graphical)Computer scienceEngineering ethics
• Applications of artificial intelligence in non–small cell lung cancer: from precision diagnosis to personalized prognosis and therapy
  BACKGROUND: Non-small cell lung cancer (NSCLC) carries a major global burden. The rapid growth of multimodal medical data challenges conventional methods to deliver stable, transferable and interpretable decisions across heterogeneous longitudinal high dimensi…
  openalex Luyuan Chang, Haipeng Li, Wei Wu, X Liu 等 2025-12-23 置信度 0.72 Computer scienceArtificial intelligenceMachine learningPrecision medicineAutomation
• From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease
  Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic inflammatory condition with global prevalence and varying incidence. The IBD pathogenesis involves intricate interactions among genetic, host and environmental fa…
  openalex Simone Baldi, Dilara Sarikaya, Sofia Lotti, Francesca Cuffaro 等 2025-05-07 置信度 0.72 MedicineInflammatory bowel diseaseDiseaseIntensive care medicineInflammatory Bowel Diseases
• Can Generative Artificial Intelligence Effectively Enhance Students’ Mathematics Learning Outcomes?—A Meta-Analysis of Empirical Studies from 2023 to 2025
  Generative artificial intelligence (GenAI) shows transformative potential in mathematics education. However, empirical findings remain inconsistent, and a systematic synthesis of its effects across distinct engagement dimensions is lacking. This preregistered …
  openalex Baoxin Liu, Wenlan Zhang, Fangfang Wang 2026-01-16 置信度 0.72 ModerationTransformative learningMathematics educationEmpirical researchMetacognition
• Artificial intelligence in the 21st century: the treasure hunt for systematic mining of natural products
  Advancements in genome mining, high-throughput sequencing and experimental techniques have generated an enormous amount of data on natural products.This has led to the design and development of advanced machine learning (ML) and artificial intelligence (AI) al…
  openalex Janani Manochkumar, Siva Ramamoorthy 2024-01-10 置信度 0.72 TreasureNatural (archaeology)HistoryArchaeology
• Towards responsible artificial intelligence in healthcare—getting real about real-world data and evidence
  BACKGROUND: The use of real-world data (RWD) in artificial intelligence (AI) applications for healthcare offers unique opportunities but also poses complex challenges related to interpretability, transparency, safety, efficacy, bias, equity, privacy, ethics, a…
  openalex Eileen Koski, Amar K. Das, Pei-Yun Hsueh, Anthony Solomonides 等 2025-07-26 置信度 0.72 TrustworthinessComputer scienceFoundation (evidence)Health careData science
• Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges
  Internet of things (IoT) is one of key pillars in fifth generation (5G) and beyond 5G (B5G) networks. It is estimated to have 42 billion IoT devices by the year 2025. Currently, carbon emissions and electronic waste (e-waste) are significant challenges in the …
  openalex Mahmoud A. Albreem, Abdul Manan Sheikh, Mohammed H. Alsharif, Muzammil Jusoh 等 2021-01-01 置信度 0.72 Computer scienceThe InternetInternet of ThingsInternet privacyWorld Wide Web
• Application of digital-intelligence technology in the processing of Chinese materia medica
  Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is the core of Chinese unique traditional pharmaceutical technology. The processing includes the preparation steps such as cleansing, cutting and stir-frying, to make certain imp…
  openalex Wanlong Zhang, Changhua Zhang, Lan Cao, Liang Fang 等 2023-08-24 置信度 0.72 IntellectualizationDigitizationStandardizationMateria medicaComputer science
• Artificial Intelligence in Intensive Care: An Overview of Systematic Reviews with Clinical Maturity and Readiness Mapping
  Background: ICU care is time critical and data dense, making it a promising but high-risk setting for AI decision support when tools are weakly validated. ICU AI evidence is heterogeneous, with limited external validation, inconsistent clinically actionable re…
  openalex Krzysztof Żerdziński, Julita Janiec, Kamil Jóźwik, Paweł Łajczak 等 2025-12-26 置信度 0.72 MedicineSystematic reviewEarly warning scoreMaturity (psychological)MEDLINE
• Current Applications and Future Perspectives of Artificial Intelligence in Face-Driven Orthodontics: A Scoping Review
  Artificial Intelligence (AI) has introduced transformative possibilities in orthodontics by enhancing diagnostic precision, treatment planning, and aesthetic outcomes. In face-driven orthodontics, treatment objectives extend beyond achieving proper occlusion t…
  openalex Barbora Heribanová, Katarína Janáková, Juraj Tomášik, Daniela Tichá 等 2026-02-16 置信度 0.72 Computer scienceTransformative learningScopusArtificial intelligenceInclusion (mineral)
• Artificial Intelligence in Adult Congenital Heart Disease: Diagnostic and Therapeutic Applications and Future Directions
  Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk …
  openalex Ibrahim Antoun, Ali Nizam, Armia Ebeid, M C Rajesh 等 2025-08-28 置信度 0.72 MedicineArtificial intelligenceDeep learningPersonalized medicineHeart disease
• Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings
  Establishing gestational age (GA) is critical for guiding obstetric care and decision-making (including the timing of prenatal visits, laboratory testing, administration of medications, vaccinations and delivery) as well as neonatal care (including need for ne…
  openalex Alexis C. Gimovsky, Ahizechukwu C. Eke, Methodius G. Tuuli 2024-08-01 置信度 0.72 MedicineUltrasonographyResource (disambiguation)Artificial intelligenceRadiology
• Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders
  Introduction: The rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders. These systems offer opportunities to enhance diag…
  openalex Jing Zhang, Shihui Xiang, Li Li 2025-05-15 置信度 0.72 Health careIncentiveStakeholderContext (archaeology)Computer science
• Artificial Intelligence in Autism Spectrum Disorder Diagnosis: A Scoping Review of Face, Voice, and Text Analysis Methods
  Background: Autism is a complex neurodevelopmental condition affecting social interaction and behavior. Traditional diagnostic methods, relying on observational techniques and interviews conducted by trained professionals, remain the gold standard for ASD diag…
  openalex Fatemeh Mohammadi, Hassan Shahrokhi, Afsoon Asadzadeh, Saeed Pirmoradi 等 2025-11-01 置信度 0.72 Autism spectrum disorderPsychologyArtificial intelligenceComplement (music)Autism
• Current challenges and the way forwards for regulatory databases of artificial intelligence as a medical device
  Effective regulatory oversight is a key step in ensuring that artificial intelligence as a medical device (AIaMD) is safe in real-world clinical settings. In this Perspective, we provide insights from our experience working with international regulatory databa…
  openalex Ariel Yuhan Ong, Aditya U. Kale, Joe Antoun, Henry David Jeffry Hogg 等 2026-02-11 置信度 0.72 Key (lock)Multidisciplinary approachQuality (philosophy)Medical deviceComputer science
• Correlation Between Artificial Intelligence Literacy and Artificial Intelligence Anxiety in Audiology Students
  ABS TRACT Objective: Artificial intelligence (AI) is becoming increasingly important in health sciences.Therefore, it is essential to assess health science students' knowledge, literacy, awareness, attitudes, and anxiety regarding AI.Although AI literacy and A…
  openalex Berna Deniz Kuntman, Anı Parabakan Polat 2026-01-01 置信度 0.72 AnxietyLiteracyPsychologyCurriculumEmotional intelligence
• Explainable Artificial Intelligence for Pulmonary Disease Detection from Chest Radiographs
  The integration of Explainable Artificial Intelligence (XAI) with deep learning has revolutionized medical image analysis, which is now able to yield accurate and interpretable disease diagnosis. In spite of significant advances in the interpretation of chest …
  openalex Prasanna Pabba, Venkata Sai Srija Chevuturi, Jeevani Sabbineni, Udvisha Samudrala 等 2025-12-12 置信度 0.72 InterpretabilityGeneralizability theoryArtificial intelligenceMedicineIdentification (biology)
• Effectiveness of Artificial Intelligence–Based Platform in Administering Therapies for Children With Autism Spectrum Disorder: 12-Month Observational Study
  Abstract Background A 12-month longitudinal observational study was conducted on 43 children aged 2‐18 years to evaluate the effectiveness of the CognitiveBotics artificial intelligence (AI)–based platform in conjunction with continuous therapy in improving th…
  openalex H. Atturu, S. Naraganti, Bharti Rao 2025-03-21 置信度 0.72 PreprintAutism spectrum disorderAutismMedicinePsychology
• Current applications and challenges in large language models for patient care: a systematic review
  BACKGROUND: The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a…
  openalex Felix Busch, Lena Hoffmann, Christopher Rueger, Elon H. C. van Dijk 等 2025-01-21 置信度 0.72 ReadabilityAutomatic summarizationMedicineMedical educationComputer science
• Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review
  Introduction: Bone-age assessment using posteroanterior left hand–wrist radiographs is indispensable in pediatric endocrinology and forensic age determination. Traditional methods—Greulich–Pyle atlas and Tanner–Whitehouse scoring—are time-consuming, operator-d…
  openalex Isidro Miguel Martín Pérez, Sofia Bourhim, Sebastián Eustaquio Martín Pérez 2025-05-26 置信度 0.72 MedicineMedical physicsWristArtificial intelligenceComputer science
• Artificial Intelligence-Enhanced Flexible Sensors for Human Motion and Posture Sensing
  In the era of Industry 4.0, artificial intelligence technology is experiencing rapid development, and the integration of artificial intelligence (AI) with flexible sensors has emerged as a transformative approach for human motion and posture sensing. This pape…
  openalex Yiru Jiang, Tianyiyi He 2026-03-02 置信度 0.72 Artificial intelligenceProcess (computing)Computer scienceTransformative learningMotion (physics)
• Artificial Intelligence-Enhanced Wearable Blood Pressure Monitoring in Resource-Limited Settings: A Co-Design of Sensors, Model, and Deployment
  Accurate blood pressure (BP) monitoring is essential for preventing and managing cardiovascular disease. Advancements in materials science, medicine, flexible electronic, and artificial intelligence (AI) have enabled cuffless, unobtrusive BP monitoring systems…
  openalex Yiming Zhang, Shirong Qiu, Kai Du, Shun Wu 等 2026-01-05 置信度 0.72 Software deploymentWearable computerComputer scienceWearable technologyBridge (graph theory)
• Educational Competencies for Artificial Intelligence in Radiology: A Scoping Review
  openalex Sunam Jassar, Zili Zhou, Sierra Leonard, Alaa Youssef 等 2025-07-21 置信度 0.72 Artificial intelligenceComputer scienceRadiologyData sciencePsychology
• Sociotechnical imaginaries and public communication: Analytical framework and empirical illustration using the case of artificial intelligence
  The concept of sociotechnical imaginaries (SIs) has been widely used and proven fruitful to understand diverging trajectories of technologies. While scholars have acknowledged the multi-layered materialisation of SIs and highlighted the importance of the commu…
  openalex Saba Rebecca Brause, Mike S. Schäfer, Christian Katzenbach, Yishu Mao 等 2025-04-28 置信度 0.72 Sociotechnical systemVisionFutures contractSociologyEpistemology
• Revolutionizing Biomedical Engineering: A Bibliometric Analysis of Artificial Intelligence Applications and Trends
  openalex Anber Abraheem Shlash Mohammad, Anber Abraheem Shlash Mohammad, Suleiman Ibrahim, Asokan Vasudevan 等 2026-01-01 置信度 0.72 Transformative learningData scienceKey (lock)Computer scienceApplications of artificial intelligence
• Artificial intelligence and the impact of the EU AI Act in business organizations
  Abstract Artificial intelligence (AI) is transforming industries worldwide, and the e‐commerce sector is at the forefront of leveraging its capabilities to drive innovation and efficiency. The paper explores the integration of artificial intelligence in e‐comm…
  openalex Marc Selgas-Cors, Renata Thiébaut 2025-11-04 置信度 0.72 Software deploymentTrustworthinessAutomationLegislatureCompliance (psychology)
• Patho-Net: enhancing breast cancer classification using deep learning and explainable artificial intelligence
  Breast cancer is a disorder affecting women globally, and hence an early and precise classification is the best possible treatment to increase the survival rate. However, the breast cancer classification faced difficulties in scalability, fixed-size input imag…
  openalex Kalappanaickenpatty Suriaprakasam Manojee 2025-01-01 置信度 0.72 Net (polyhedron)Breast cancerArtificial intelligenceComputer scienceDeep learning
• Artificial Intelligence‐Based Pathology to Assist Prediction of Neoadjuvant Therapy Responses for Breast Cancer
  BACKGROUND: Neoadjuvant therapy (NAT) is a standard breast cancer treatment, but patient response varies significantly. Predictive markers can guide treatment decisions, yet their interpretation suffers from inter-pathologist variability due to breast cancer's…
  openalex Juan Ji, Fanglei Duan, Qiong Liao, Hao Wang 等 2025-08-01 置信度 0.72 Breast cancerOmicsCancerMedicineArtificial intelligence
• Artificial Intelligence in Epilepsy: A Systemic Review
  Diagnosing and managing epilepsy is difficult for doctors. Surgery can help some patients, but it often takes a long time to get there. This research looks at scientific studies to see if artificial intelligence and machine learning (ML) can be used to improve…
  openalex Almuntasar Al-Breiki, Said Al-Sinani, Ahmed Elsharaawy, Mohamed Usama 等 2025-06-10 置信度 0.72 EpilepsyScopusArtificial intelligenceMedicineMachine learning
• The DRAGON benchmark for clinical NLP
  Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential …
  openalex Joeran S. Bosma, Koen Dercksen, Luc Builtjes, R. Johanes Andre 等 2025-05-17 置信度 0.72 Benchmark (surveying)Artificial intelligenceNatural language processingComputer scienceMachine learning
• The Road Towards 6G: A Comprehensive Survey
  As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generat…
  openalex Wei Jiang, Bin Han, Mohammad Asif Habibi, Hans Dieter Schotten 2021-01-01 置信度 0.72 Key (lock)Set (abstract data type)TelecommunicationsOpen researchComputer science
• Ambient Artificial Intelligence Scribe Implementation in an Ambulatory Setting: Experience and Outcomes form a Single Medical Group (Preprint)
  BACKGROUND Healthcare providers spend an excessive amount of time within electronic medical record (EMR) systems documenting patient encounters, often amounting to hours of time outside of regular office hours. This affects provider productivity and directly c…
  crossref Cameron Jason Harvey, Josiah Morita, William Huynh, Russell K. Woo 等 2025-10-07T13:50:25Z 置信度 0.70
• Peer Review Report For: Exploring Filipino Medical Students’ Attitudes and Perceptions of Artificial Intelligence in Medical Education: A Mixed-Methods Study [version 2; peer review: 1 approved, 2 approved with reservations]
  crossref 2025-11-21T18:12:10Z 置信度 0.70
• Understanding the structural shifts in financial services brought by the integration of artificial intelligence and digital infrastructure
  The financial services industry is in the midst of a historic transformation right now, and what it looks like once this transformation is complete will be very different from the financial services industry of a decade, or even a year, ago. As if the aftersho…
  crossref Ramesh Inala 2025-06-17T10:26:59Z 置信度 0.70
• Color Retinal Enhancement Using Artificial Intelligence
  crossref Varshitha Kesireddy 2025-02-07T14:34:20Z 置信度 0.70
• Introduction
  crossref 2025-09-08T00:05:33Z 置信度 0.70
• The Ethical Frontier of Artificial Intelligence
  crossref KSS Kanhaiya 2025-01-29T14:42:23Z 置信度 0.70
• Artificial Intelligence as an Instrument of Self-determination: Current Regulatory Frameworks
  crossref Dragan Dakić 2025-07-17T04:04:32Z 置信度 0.70
• Medical AI in the EU: Regulatory Considerations and Future Outlook
  In many countries around the world, the healthcare sector is facing difficult problems: the aging population needs more care at the same time as the workforce is not growing, the cost of treatments is going up, and the more and more technical medical products …
  crossref Pertti Ranttila, Golnaz Sahebi, Elina Kontio, Jussi Salmi 2024-10-24T06:51:34Z 置信度 0.70
• REMOVED: Introduction
  crossref 2025-01-31T13:55:32Z 置信度 0.70
• Front Matter
  crossref 2024-11-15T04:49:54Z 置信度 0.70
• Artificial Intelligence In Early Detection Of Gynecological Cancers.
  Background: Artificial intelligence (AI) is entering the hot oncology series of clinical diagnostic tools. So far as gynecological malignancies are concerned, timely diagnosis is essential to enhancing survival as well as alleviating the load of therapy. The a…
  crossref 2025-11-17T08:01:16Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE IN DIAGNOSTIC MEDICINE: LITERATURE REVIEW CONTRASTING DIFFERENTIAL ACCURACY FROM TEST REPORTS VERSUS SELF‐REPORTED SYMPTOMS AND IMPLICATIONS ON MEDICAL SPECIALTIES
  Recent advances in large language models (LLMs) have shown that when fed with structured, tangible data -such as X-ray images, CT scans, bloodwork, and other machine-generated test reports -LLMs can achieve significantly higher diagnostic accuracy compared wit…
  crossref Gunmeh Bhandari 2025-02-19T07:03:29Z 置信度 0.70