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• Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles
  Technology has become ubiquitous, it is all around us and is becoming part of us. Togetherwith the rise of the Internet of Things (IoT) paradigm and enabling technologies (e.g., Augmented Reality (AR), Cyber-Physical Systems, Artificial Intelligence (AI), bloc…
  openalex Tiago M. Fernández‐Caramés, Paula Fraga‐Lamas 2018-12-07 置信度 0.72 ClothingWearable computerComputer scienceWearable technologySmart objects
• COVID-19 pandemic and artificial intelligence possibilities: A healthcare perspective
  openalex Rohit Gupta, Mahima Lall 2021-07-01 置信度 0.72 PandemicMedicinePopulationWorld populationHealth care
• Antidiscrimination Law Meets Artificial Intelligence—New Requirements for Health Care Organizations and Insurers
  This JAMA Forum discusses new regulatory requirements for antidiscrimination in artificial intelligence tools used in health care, the dark side of flexible enforcement by agencies, and ways to facilitate meaningful compliance.
  openalex Michelle M. Mello, Jessica L. Roberts 2024-08-29 置信度 0.72 Compliance (psychology)EnforcementLaw enforcementHealth careBusiness
• Unleashing the Future of Endodontics: Exploring the Potential Role of Explainable Artificial Intelligence in Risk Stratification and Decision‐Making in Endodontics
  The incorporation of artificial intelligence (AI) into endodontics has predominantly focused on augmenting diagnostic accuracy, particularly in pinpointing periradicular radiolucencies and delineating the complex architecture of root canal systems via radiogra…
  openalex Mohammed Turky, P. M. H. Dummer 2025-08-08 置信度 0.72 EndodonticsRisk stratificationStratification (seeds)DentistryMedicine
• The Future of Enhanced Recovery After Surgery in General Surgery: Integrating Artificial Intelligence, Personalized Care, and Technological Advances
  Enhanced Recovery After Surgery (ERAS) protocols have changed and improved surgical care and practice, transforming classic approaches toward more evidence-based practices. ERAS protocols demonstrate consistent benefits, including reduced hospital length of st…
  openalex Mohamed Abosheisha, É. Nasr, Mohamed Abdel-Latif, Ahmed Swealem 等 2025-09-03 置信度 0.72 MedicineIntensive care medicineSurgeryGeneral surgery
• Code of ethics for the use of artificial intelligence in the Russian Federation healthcare
  The article discusses the process of development and approval of the first Code of Ethics of Artificial Intelligence (AI) application in the Russian Federation Healthcare. Against the backdrop of the active integration of AI technologies into medical practice …
  openalex Julia I. Koroleva, А. Л. Хохлов, O. R. Artemova, E. Kostina 等 2025-06-13 置信度 0.72 Russian federationHealth careCode (set theory)Political scienceComputer science
• Opportunities and Challenges of Using Artificial Intelligence in Predicting Clinical Outcomes and Length of Stay in Neonatal Intensive Care Units: Systematic Review
  BACKGROUND: The use of artificial intelligence (AI) in health care has been steadily increasing for over 2 decades. Integrating AI into neonatal intensive care units (NICUs) has promise as it has the potential to reshape neonatal care and improve outcomes. How…
  openalex Samantha Tudor, Risha Bhatia, Michael Liem, Tafheem Ahmad Wani 等 2025-08-17 置信度 0.72 LimitingIntensive careMedicineMEDLINENeonatal intensive care unit
• Exploring value co-creation and co-destruction between consumers & generative artificial intelligence (GAI) in travel
  Little is known about the (dis)benefits of using generative artificial intelligence (GAI) with travel-related purposes, which hinders an understanding of the value co-created and co-destructed in the process of its use by tourists. This mixed methods study exp…
  openalex Hien Thu Bui, Viachaslau Filimonau, Hakan Sezerel 2025-07-01 置信度 0.72 Co-creationValue (mathematics)Generative grammarBusinessGenerative model
• Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students
  The rise in generative artificial intelligence (GenAI) demands new forms of literacy among higher education students. This paper introduces a novel task-centered generative artificial intelligence literacy framework, which was developed collaboratively with ac…
  openalex Arnon Hershkovitz, Michal Tabach, Yoram Reich, Lilach Lurie 等 2025-06-27 置信度 0.72 Framing (construction)Generative grammarLiteracyMathematics educationScientific literacy
• Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol
  INTRODUCTION: Histopathological evaluation of prostate biopsies using the Gleason scoring system is critical for prostate cancer diagnosis and treatment selection. However, grading variability among pathologists can lead to inconsistent assessments, risking in…
  openalex Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky 等 2025-07-01 置信度 0.72 MedicineProstate cancerPerineural invasionGrading (engineering)Protocol (science)
• The Role of Artificial Intelligence in the Evaluation of Prostate Pathology
  Artificial intelligence (AI) is an emerging tool in diagnostic pathology, including prostate pathology. This review summarizes the possibilities offered by AI and also discusses the challenges and risks. AI has the potential to assist in the diagnosis and grad…
  openalex Lars Egevad, Andrea Camilloni, Brett Delahunt, Hemamali Samaratunga 等 2025-04-14 置信度 0.72 Prostate cancerStandardizationGrading (engineering)PathologyMedicine
• The Biological as a Double Limit for Artificial Intelligence: Review and Futuristic Debate
  This paper aims to identify to what extent artificial intelligence (AI) is biologically limited and to launch a debate on the issue of overcoming these limitations. To achieve our goal, we utilized a qualitative research methodology framework, providing an in-…
  openalex Alexandru Țugui, Daniela Dănciulescu, Mihaela-Simona Subtirelu 2019-04-14 置信度 0.72 Computer sciencePerspective (graphical)Context (archaeology)Field (mathematics)Artificial intelligence
• Digital and artificial intelligence-assisted cephalometric training effectively enhanced students’ landmarking accuracy in preclinical orthodontic education
  BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly, computer-assisted learning has demonstrated teaching outcomes comparable to those of traditional methods in o…
  openalex Jiayu Lin, Zhihao Liao, Jingtao Dai, Manyi Wang 等 2025-04-24 置信度 0.72 MedicineOral and maxillofacial surgeryOrthodonticsDentistryMedical physics
• Performance of a medical smartband with photoplethysmography technology and artificial intelligence algorithm to detect atrial fibrillation
  Background: Atrial fibrillation (AF) is a prevalent arrhythmia with significant public health implications, including increased risk of stroke and mortality. Early detection is challenging but crucial for managing complications. Wearable technology with photop…
  openalex Sebastiaan Blok, Willem Gielen, M. Piek, Wiert F. Hoeksema 等 2025-01-01 置信度 0.72 PhotoplethysmogramAtrial fibrillationComputer scienceAlgorithmCardiology
• Cognitive offloading and the reshaping of human thought: The subtle influence of Artificial Intelligence
  The integration of artificial intelligence (AI) into daily cognitive tasks has transformed traditional cognitive offloading—the delegation of mental processes to external tools—into a dynamic partnership with intelligent systems. This article examines the dual…
  openalex Vincent J. Hooper 2025-12-20 置信度 0.72 SafeguardingCognitionMetacognitionGeneral partnershipCreativity
• An artificial intelligence-based bone age assessment model for Han and Tibetan children
  Background: Manual bone age assessment (BAA) is associated with longer interpretation time and higher cost and variability, thus posing challenges in areas with restricted medical facilities, such as the high-altitude Tibetan Plateau. The application of artifi…
  openalex Qixing Liu, Huogen Wang, Cidan Wangjiu, Tudan Awang 等 2024-02-15 置信度 0.72 Generalizability theoryTest setTraining setMedicineTest (biology)
• Analyzing the impact of artificial intelligence on the online purchase decision-making process through the lens of the UTAUT 2 model
  Abstract Consumer perceptions and purchasing decision-making have been significantly impacted by the rapid use of artificial intelligence (AI) in the online retail sector. The online shopping experience has been transformed by AI technologies, which include so…
  openalex Rinku Sharma Dixit, Shailee Lohmor Choudhary, Nikhil Govil 2025-05-23 置信度 0.72 Process (computing)Computer scienceDecision-makingLens (geology)Artificial intelligence
• Embracing Artificial Intelligence in Dental Practice: An Exploratory Study of Romanian Clinicians’ Perspectives and Experiences
  Background/Objectives: Standard dental practice is being reshaped by digital technologies, and artificial intelligence (AI) is emerging as one of the most challenging recent innovations. Methods: The present study assessed the interest of Romanian dentists in …
  openalex Alin Flavius Cozmescu, Ana Cernega, Dana Galieta Mincă, Andreea Cristiana Didilescu 等 2025-08-27 置信度 0.72 ConfidentialityRomanianIntervention (counseling)Dental practicePsychology
• Elementary school students' awareness of the use of artificial intelligence chatbots in violence prevention education in South Korea: a descriptive study
  PURPOSE: This study aimed to identify students' awareness of the use of a chatbot (A-uC), a type of artificial intelligence technology, for violence prevention among elementary school students. METHODS: The participants comprised 215 students in the fourth to …
  openalex Kyung‐Ah Kang, Shin‐Jeong Kim, Shin-Jeong Kim, So Ra Kang 2022-10-31 置信度 0.72 Descriptive researchPsychologyDescriptive statisticsMedical educationMathematics education
• The role of artificial intelligence and bureaucracy in frugal innovation for social and environmental performance: A structuration theory approach
  openalex Rameshwar Dubey 2025-05-23 置信度 0.72 BureaucracyStructuration theoryManagement scienceBusinessKnowledge management
• Advances and opportunities in the new digital era of telemedicine, e-health, artificial intelligence, and beyond
  openalex Haoxiang Wang, Yuting Li, Junjie Huang, Wenyong Huang 等 2023-10-25 置信度 0.72 TelemedicineMedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakMEDLINE
• Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
  Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (…
  openalex Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park 等 2025-01-01 置信度 0.72 Question answeringComputer scienceInformation retrievalNatural language processingArtificial intelligence
• Now and future of artificial intelligence-based signet ring cell diagnosis: A survey
  openalex Meng Zhu, Junhao Dong, Limei Guo, Fei Su 等 2025-07-28 置信度 0.72 Computer scienceRing (chemistry)Artificial intelligenceChemistryOrganic chemistry
• Enhancing Coordination and Decision Making in Humanitarian Logistics Through Artificial Intelligence: A Grounded Theory Approach
  Background: The adoption of artificial intelligence (AI) in humanitarian logistics is essential for improving coordination and decision making, especially in the challenging landscape of disaster-relief settings. However, the current literature offers limited …
  openalex Panagiotis Pantiris, Petros Pallıs, Panos Chountalas, Thomas K. Dasaklis 2025-08-11 置信度 0.72 Agency (philosophy)Humanitarian aidField (mathematics)Grounded theoryKnowledge management
• Design and development of an intelligent system based on artificial intelligence and machine learning using customs digital indicators
  This paper aims to evaluate the role of AI and ML-driven innovative technologies in enhancing customs operations in Jordan. This research employed a quantitative approach to develop an overall conceptual model that encompasses both the technical and behavioral…
  openalex Ashraf I. A. Qahman, Malek Alzaqebah, Sana Jawarneh, Murad Ali Ahmad Al-Zaqeba 等 2025-11-06 置信度 0.72 Artificial intelligenceComputer scienceMachine learningStructural equation modelingConsistency (knowledge bases)
• Artificial intelligence model for the assessment of unstained live sperm morphology
  Abstract: Traditional sperm morphology assessment requires staining and high magnification (100×), rendering sperm unsuitable for further use. We aimed to determine whether an in-house artificial intelligence (AI) model could reliably assess normal sperm morph…
  openalex Jermphiphut Jaruenpunyasak, Prawai Maneelert, Marwan Nawae, Chainarong Choksuchat 2025-04-01 置信度 0.72 SpermSemenSemen analysisMagnificationAndrology
• Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients
  Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated …
  openalex Isabel G. Scalia, Girish Pathangey, Mahmoud Abdelnabi, Omar Ibrahim 等 2025-02-11 置信度 0.72 CardiotoxicityMedicineDiseaseCancerRadiation therapy
• AI Rx: Revolutionizing Healthcare Through Intelligence, Innovation, and Ethics
  The integration of artificial intelligence (AI) in healthcare presents significant promise to enhance clinical procedures and patient outcomes. This research examines the setting, methodology, conclusions, and issues associated with AI in healthcare. The swift…
  openalex Mutaz Abdel Wahed, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah 2024-10-18 置信度 0.72 Health careEngineering ethicsBusinessKnowledge managementPsychology
• Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system
  PURPOSE: To describe the development of the AcroFace system, an AI-based system for early detection of acromegaly, based on facial photographs analysis. METHODS: Two types of features were explored: (1) the visual/texture of a set of 2D facial images, and (2) …
  openalex Hatem A. Rashwan, Montserrat Marqués-Pamies, Sabina Ruiz, Joan Gil 等 2025-04-21 置信度 0.72 Artificial intelligenceSupport vector machinePattern recognition (psychology)AcromegalyFeature (linguistics)
• Explainable artificial intelligence driven insights into smoking prediction using machine learning and clinical parameters
  Smoking is a leading cause of various health conditions, including cancer and respiratory diseases. Smokers often face medical restrictions such as limitations in blood and organ donation, reduced effectiveness of medications, and increased surgical complicati…
  openalex S Aishwarya, P. C. Siddalingaswamy, Krishnaraj Chadaga 2025-07-05 置信度 0.72 Artificial intelligenceComputer scienceMachine learning
• Neural networks and artificial intelligence as trends for the development of the future
  Abstract This article discusses neural networks and artificial intelligence from the prospects for the future life of humanity. Neural networks and artificial intelligence are also presented as a tool for conducting almost all types of business, production, me…
  openalex B R Avetisyan, N S Druzhinina, I M Daudov 2020-07-01 置信度 0.72 Artificial neural networkArtificial intelligenceComputer scienceSegmentation
• Evaluation of Medical Diagnosis Capabilities of Three Artificial Intelligence Models – ChatGPT-3.5, Google Gemini, Microsoft Copilot: Sustainable Development Goals (SDGs)
  Objectives: This study aims to assess and compare the diagnostic accuracy of three artificial intelligence (AI) models—ChatGPT-3.5, Microsoft Copilot, and Google Gemini—through their performance on clinical vignettes. Theoretical Framework: Building on prior r…
  openalex Yordanka Eneva, Bora Doğan 2025-01-17 置信度 0.72 Sustainable developmentComputer scienceDevelopment (topology)Artificial intelligencePolitical science
• Systematic review: The use of large language models as medical chatbots in digestive diseases
  BACKGROUND: Interest in large language models (LLMs), such as OpenAI's ChatGPT, across multiple specialties has grown as a source of patient-facing medical advice and provider-facing clinical decision support. The accuracy of LLM responses for gastroenterology…
  openalex Mauro Giuffrè, Simone Kresevic, Kisung You, Johannes Dupont 等 2024-05-27 置信度 0.72 HepatologyMedicineInternal medicineMEDLINECochrane Library
• Mapping the landscape of AI-assisted formative feedback in medical education: A bibliometric analysis
  BACKGROUND: Artificial intelligence (AI) is transforming medical education, particularly in formative feedback. This study conducted a comprehensive bibliometric analysis to map the intellectual landscape, research trends, and future directions of AI-assisted …
  pubmed Sha Yu, Jin Liu, Yu S, Liu J 2026 Jan 30 置信度 0.82 Formative assessmentMedicineCompetence (human resources)Medical educationField (mathematics)
• Can nurses remain relevant in a technologically advanced future?
  Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health and wellness care. Technological advancements have drastically changed the structure and organization of the healthcare industry. McKinsey Global Institute estima…
  openalex Joseph Andrew Pepito, Rozzano C. Locsin 2018-10-04 置信度 0.72 Health careSAFERNursingRobotNursing care
• Artificial Intelligence and Venous Thromboembolism: A Narrative Review of Applications, Benefits, and Limitations
  Background: Venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism, remains a leading cause of cardiovascular morbidity and mortality. Artificial intelligence (AI) holds promise for potential improvement of risk stratification, dia…
  openalex Aya Mudrik, Orly Efros 2025-04-08 置信度 0.72 InterpretabilityRisk stratificationMedicineIntensive care medicineVenous thromboembolism
• Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots
  Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors and risks related to trust, perceived values, satisfaction, and sustainable u…
  openalex Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Hossana Twinomurinzi 2024-12-28 置信度 0.72 Generative grammarComputer scienceArtificial intelligenceRisk analysis (engineering)Business
• Artificial intelligence–aided steatosis assessment in donor livers according to the Banff consensus recommendations
  OBJECTIVES: Severe macrovesicular steatosis in donor livers is associated with primary graft dysfunction. The Banff Working Group on Liver Allograft Pathology has proposed recommendations for steatosis assessment of donor liver biopsy specimens with a consensu…
  openalex Jingjing Jiao, Haiming Tang, Nanfei Sun, Xuchen Zhang 2024-05-08 置信度 0.72 SteatosisMedicineBiopsyLiver biopsyPathology
• A Systematic Literature Survey on the Role of Artificial Intelligence Techniques in Industrial Revolution 4.0 Readiness
  The service sector is a key focus of the Fourth Industrial Revolution (IR4.0), a digital transformation that spans all industries. Central to IR4.0 is the adoption of emerging technologies such as artificial intelligence (AI), big data analytics, the Internet …
  openalex Nurul Izzati Saleh, Mohamad Taha Ijab 2022-09-22 置信度 0.72 Big dataScopusCloud computingWorkforceIndustry 4.0
• Artificial intelligence for maxillofacial prosthodontics: A technological shift in craniofacial rehabilitation- a scoping review
  Introduction: Artificial intelligence (AI) transforms dentistry and holds considerable promise for maxillofacial prosthodontics (MFP). Applications in imaging, computer-aided design and manufacturing (CAD/CAM), and additive manufacturing are improving diagnosi…
  openalex Anupama Aradya, Koduru Sravani, M B Ravi, KN Raghavendra Swamy 等 2025-10-17 置信度 0.72 CraniofacialMedical physicsEngineeringMedicineApplications of artificial intelligence
• A Survey on Internet of Things and Cloud Computing for Healthcare
  The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis an…
  openalex L. Minh Dang, Md. Jalil Piran, Dongil Han, Kyungbok Min 等 2019-07-09 置信度 0.72 Cloud computingHealth careInternet of ThingsBig dataComputer science
• AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
  Despite the wealth of single-cell multi-omics data, it remains challenging to predict the consequences of novel genetic and chemical perturbations in the human body. It requires knowledge of molecular interactions at all biological levels, encompassing disease…
  openalex You Wu, Lei Xie 2025-01-01 置信度 0.72 OmicsPhenotypeScale (ratio)Computational biologyGenotype
• Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm
  OBJECTIVE: Preterm infants are at high risk of neuromotor disorders. Recent advances in digital technology and machine learning algorithms have enabled the tracking and recognition of anatomical key points of the human body. It remains unclear whether the prop…
  openalex Shiang-Chin Lin, Erick Chandra, Po‐Nien Tsao, Wei‐Chih Liao 等 2024-01-20 置信度 0.72 Movement assessmentArtificial intelligenceMovement (music)Computer scienceMachine learning
• Leveraging Artificial Intelligence to Advance Health Equity in America’s Safety Net
  openalex Bhav Jain, Rushabh Doshi, Shantanu Nundy 2025-05-15 置信度 0.72 MedicineSafety netEquity (law)Environmental healthLaw
• Research-based clinical deployment of artificial intelligence algorithm for prostate MRI
  PURPOSE: A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorithms in radiology practice is the actual integration of algorithms directly into the clinical Picture Archiving and Communications Systems (PACS). Here, we sough…
  openalex Stephanie A. Harmon, Jesse Tetreault, Ömer Tarık Esengür, Ming Qin 等 2025-05-25 置信度 0.72 Software deploymentMedicineWorkflowPipeline (software)Computer science
• Detection of emergency department patients at risk of dementia through artificial intelligence
  INTRODUCTION: The study aimed to develop and validate the Emergency Department Dementia Algorithm (EDDA) to detect dementia among older adults (65+) and support clinical decision-making in the emergency department (ED). METHODS: In a multisite retrospective st…
  openalex Inessa Cohen, Richard A. Taylor, Haipeng Xue, Isaac V. Faustino 等 2025-06-01 置信度 0.72 Emergency departmentDementiaArtificial intelligenceReceiver operating characteristicMachine learning
• On the Possibility of Using Artificial Intelligence in Medicine: From Theory to Practice
  Modern life is inextricably linked with the latest technologies. Artificial intelligence (AI) poses a new challenge to humanity, the application of which affects all areas of life, including medicine. This article examines the potential application of AI in me…
  openalex V. N. Trubilin, E. G. Polunina, V. V. Kurenkov, A. V. Trubilin 等 2025-12-28 置信度 0.72 Risk analysis (engineering)AutomationComputer scienceArtificial intelligenceEveryday life
• The Application of Artificial Intelligence (AI) in Regenerative Medicine: Current Insights and Challenges
  Artificial intelligence (AI) is rapidly emerging as a transformative tool capable of addressing critical challenges and improving outcomes in tissue engineering and regenerative medicine. This paper demonstrates how machine learning and data fusion predict ste…
  openalex Duaa Abuarqoub, Mahdi Mutahar 2025-12-09 置信度 0.72 Regenerative medicineTransformative learningComputer scienceRegeneration (biology)Artificial intelligence
• Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine
  The integration of artificial intelligence (AI) into acupuncture research is accelerating the transformation of this traditional, experience-based practice into a data-driven, precision discipline. This review synthesizes recent advances in AI-enabled outcome …
  openalex Guoliang Hou, Bao-Qiang Dong, Boyang Yu, Jian-Yu Dai 等 2025-07-31 置信度 0.72 Computer scienceArtificial intelligenceDeep learningData scienceConvolutional neural network
• Utilization of artificial intelligence in prostate cancer detection: a comprehensive review of innovations in screening and diagnosis
  Prostate cancer management has long been challenged by the limitations of traditional screening tools like PSA testing, which contribute to significant rates of overdiagnosis and overtreatment. While advanced imaging such as multiparametric MRI (mpMRI) has imp…
  openalex Emad Rajih, Abdulaziz Bakhsh, Walaa Borhan, Saeed Awad M. Alqahtani 2025-11-27 置信度 0.72 OverdiagnosisProstate cancerMedicineArtificial intelligenceApplications of artificial intelligence
• Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis
  BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowing for earl…
  openalex Sarah Arzani, Parisa Soltani, Ali Karimi, Maryam Yazdi 等 2025-05-19 置信度 0.72 Carotid arteriesRadiographyMeta-analysisRadiologyComputer science
• Implementation of Artificial Intelligence in nursing education: Α Νarrative Review
  Background: As technological advancements continue to reshape various industries, the integration of AI in healthcare education emerges as a crucial facet in preparing future nursing professionals. This narrative review aims to elucidate the numerous ways AI t…
  openalex Aikaterini Kouka, Evangelia Giannelou, Kleanthis Konstantinidis, Ioannis Apostolakis 2025-01-05 置信度 0.72 NursingPsychologyMedical educationMedicineComputer science
• Artificial intelligence and physician burnout: A productivity paradox
  Introduction: Physician burnout persists in the American healthcare system. In part, this burnout is believed to be driven by the Electronic Health Record (EHR) and its fraught role in the clinical work of physicians. Artificial intelligence (AI)-enabled healt…
  openalex David Alex Goodson, Brittany Garcia, Michael Hogarth, Shin‐Ping Tu 2025-04-23 置信度 0.72 BurnoutProductivityPsychologyApplied psychologyMedical education
• Impact of generative AI in medical education in India: a systematic review
  Background: The advent of generative Artificial Intelligence (AI) has presented a fundamental change in the approach to medical education across the world. In India, where the medical education is facing a shortage in faculties and resources, generative AI (Ge…
  openalex Azfar Mateen, Visesh Kumar, Ajay Singh, Berendra Yadav 等 2025-12-17 置信度 0.72 Medical educationPsychologyGenerative grammarComputer scienceMEDLINE
• Artificial Intelligence in Assessing Reproductive Aging: Role of Mitochondria, Oxidative Stress, and Telomere Biology
  Fertility potential ever more diminishes due to the complex, multifactorial, and still not entirely clarified process of reproductive aging in women and men. Gamete quality and reproductive lifespan are compromised by biologic factors like mitochondrial dysfun…
  openalex Efthalia Moustakli, Themos Grigoriadis, Sofoklis Stavros, Anastasios Potiris 等 2025-08-19 置信度 0.72 Reproductive medicineTelomereBiologyFertilityReproductive biology
• Narrative review of the ethics of artificial intelligence: are we ready for artificial intelligence in surgery?
  Background and Objective: Artificial intelligence (AI) is transforming surgical care by enhancing clinical decision-making and providing intraoperative guidance. As its applications expand, ethical challenges arise, including algorithmic bias, transparency in …
  openalex Erin Yu, Graeme M. Rosenberg, Brooks V. Udelsman, Takashi Harano 等 2026-02-01 置信度 0.72 MedicineAccountabilityTransparency (behavior)SkepticismInformed consent
• Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information
  Importance: Early identification of the likelihood of autism spectrum disorder (ASD) using minimal information is crucial for early diagnosis and intervention, which can affect developmental outcomes. Objective: To develop and validate a machine learning (ML) …
  openalex Shyam Sundar Rajagopalan, Yali Zhang, Ashraf Yahia, Kristiina Tammimies 2024-08-19 置信度 0.72 Autism spectrum disorderReceiver operating characteristicMachine learningAutismRandom forest
• Artificial Intelligence Applications in the Diagnosis, Treatment, and Prognosis of Hepatocellular Carcinoma
  The global burden of hepatocellular carcinoma (HCC) has shifted from viral to nonviral etiologies. However, successful antiviral therapy does not fully eliminate the risk of HCC, underscoring the demand for more effective surveillance strategies. Current scree…
  openalex Ming-Ying Lu, Jacky Chung‐Hao Wu, Henry Horng-Shing Lu, Mohammed Eslam 等 2025-12-31 置信度 0.72 MedicineHepatocellular carcinomaPrecision medicinePersonalized medicineArtificial intelligence
• On the ethical and moral dimensions of using artificial intelligence for evidence synthesis
  Artificial intelligence (AI) is increasingly being used in the field of medicine and healthcare. However, there are no articles specifically examining ethical and moral dimensions of AI use for evidence synthesis. This article attempts to fills this gap. In do…
  openalex Soumyadeep Bhaumik 2025-03-19 置信度 0.72 PsychologyEngineering ethicsEpistemologyPhilosophyEngineering
• The Impact of Awareness of New Artificial Intelligence Technologies on Policy Governance on Risk
  Background/Objectives: This study examined the risks of new AI technologies and their impact on policy governance. Artificial intelligence is bringing about changes in various fields such as politics, economy and culture through information society and technol…
  openalex Do-Hyung Yee, Yen-Yoo You 2020-05-23 置信度 0.72 Government (linguistics)Corporate governanceAgency (philosophy)Exploratory factor analysisDescriptive statistics
• Harnessing Artificial Intelligence for Global Health Advancement
  Artificial intelligence (AI) is transforming healthcare, offering the potential to optimize clinical decision-making, improve patient outcomes, and enhance care accessibility. AI-driven tools can analyze vast medical data, enabling early disease detection, acc…
  openalex Guntas Dhanjal 2025-01-01 置信度 0.72 Artificial intelligenceComputer scienceData science
• An Effectiveness Study of Generative Artificial Intelligence Tools Used to Develop Multiple-Choice Test Items
  Generative artificial intelligence (GenAI) tools developed to support teaching and learning are widely available. Trustworthiness concerns, however, have prompted calls for researchers to study their effectiveness and for educators and educational researchers …
  openalex Toni A. May, Yiyun Fan, Gregory E. Stone, Kristin L. K. Koskey 等 2025-01-24 置信度 0.72 Test (biology)Computer scienceGenerative grammarMultiple choiceArtificial intelligence
• Artificial Intelligence as a Provider of Feedback on EFL Student Compositions
  In response to the arrival of advanced artificial intelligence (AI) in the form of ChatGPT, this study examines its potential for providing feedback to foreign language writers. This represents a more acceptable use of AI in the writing classroom, rather than …
  openalex Manal Saleh M. Alghannam 2024-12-12 置信度 0.72 CredibilityConsistency (knowledge bases)Peer feedbackComputer scienceFocus (optics)
• FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review
  openalex Pranav Ajmera, Ryan Dillard, Timothy L. Kline, A. Missert 等 2025-04-18 置信度 0.72 MedicineMedical physicsMEDLINELawPolitical science
• Medical and Pharmaceutical Law in Erasmus+: Study of the Disciplines by Medical Students as a Basis for Training of Healthcare Professionals in Prevention of Medical Errors and Crimes
  Within the framework of the Erasmus+ program, the significance of medical and pharmaceutical law is underscored as a pivotal element in training future doctors and healthcare managers, with the goal of preventing medical errors and criminal offenses in clinica…
  openalex Valentyn Shapovalov, Олександр Вейц 2024-12-27 置信度 0.72 Erasmus+Health careHealth professionalsMedical educationTraining (meteorology)
• Artificial Intelligence in Oculoplastic Surgery: A Systematic Review
  Artificial Intelligence (AI) has become an integral component of modern ophthalmology, with oculoplastic surgery representing a rapidly evolving subspecialty that stands to benefit from advances in automation and deep learning.Despite promising innovations, a …
  openalex Niraj Kumar Yadav, Ophthalmic Plastic 2026-01-05 置信度 0.72 WorkflowArtificial intelligenceComputer scienceMEDLINEApplications of artificial intelligence
• Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach
  Objectives: To develop and apply a reproducible methodology for evaluating generative artificial intelligence (AI) powered systems in health care, addressing the gap between theoretical evaluation frameworks and practical implementation guidance. Materials and…
  openalex Leah Livingston, Amber Featherstone-Uwague, A. P. Barry, Kenneth Barretto 等 2025-05-02 置信度 0.72 Computer scienceSubject-matter expertArtificial intelligenceCorrectnessMachine learning
• Artificial Intelligence Governance and Ethics: Global Perspectives
  Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, and its implementation is planned to become more prevalent in coming years. AI is increasingly being embedded in our lives, supplementing ou…
  openalex Angela Daly, Thilo Hagendorff, Hui Li, Monique Mann 等 2019-06-28 置信度 0.72 Corporate governanceConversationPolitical scienceHappeningEconomic Justice
• Raindrop optimizer: a novel nature-inspired metaheuristic algorithm for artificial intelligence and engineering optimization
  This paper presents a novel meta-heuristic optimization method, the Raindrop Algorithm (RD), inspired by natural raindrop phenomena, and explores its applications in artificial intelligence. The raindrop algorithm comprises two primary phases: exploration and …
  openalex Shengjin Chen, Guangyong Yang, Guanghai Cui, Xiaoli Dong 2025-10-01 置信度 0.72 Benchmark (surveying)Computer scienceConvergence (economics)AlgorithmReduction (mathematics)
• Artificial Intelligence in Infectious Skin Disease
  Abstract Background Infective and infectious dermatological diseases, which range from minor diseases like impetigo to serious diseases like deep fungal infections, pose significant public health issues. Given the growth of drug‐resistant microorganisms, it is…
  openalex Ghasem Rahmatpour Rokni, Nasim Gholizadeh, Mahsa Babaei, Kinnor Das 2024-06-01 置信度 0.72 Infectious disease (medical specialty)VirologyMedicineDiseaseDermatology
• Facial Analysis for Plastic Surgery in the Era of Artificial Intelligence: A Comparative Evaluation of Multimodal Large Language Models
  Background/Objectives: Facial analysis is critical for preoperative planning in facial plastic surgery, but traditional methods can be time consuming and subjective. This study investigated the potential of Artificial Intelligence (AI) for objective and effici…
  openalex Syed Ali Haider, Srinivasagam Prabha, Cesar A. Gomez-Cabello, Sahar Borna 等 2025-05-16 置信度 0.72 MedicineFacial traumaMultimodal therapyArtificial intelligenceSurgery
• Artificial intelligence in traditional medicine: evidence, barriers, and a research roadmap for personalized care
  Background: Traditional medicine (TM) systems such as Ayurveda, Traditional Chinese Medicine (TCM), and Thai Traditional Medicine (TTM) are increasingly intersecting with artificial intelligence (AI). Objective: To synthesize how AI is currently applied to TM …
  openalex Ketmanee Jongjiamdee, Pimnipa Pornwonglert, Nutnichar Na Bangchang, Pravit Akarasereenont 2025-09-09 置信度 0.72 Computer sciencePersonalized medicineArtificial intelligenceData scienceApplications of artificial intelligence
• An artificial intelligence cloud platform for OCT-based retinal anomalies screening system in real clinical environments
  Millions of individuals worldwide suffer from retinal anomalies, which can lead to irreversible vision loss. However, the number of ophthalmologists is highly mismatched with the population base in China, especially in many rural and underdeveloped towns. To t…
  openalex Xinjian Chen, Jiangtao Wang, Tianwei Qian, Jingcheng Wang 等 2025-08-29 置信度 0.72 Cloud computingRetinalComputer scienceArtificial intelligenceOperating system
• Machine learning for antimicrobial peptide identification and design
  openalex Fang Wan, Felix Wong, James J. Collins, César de la Fuente‐Núñez 2024-02-26 置信度 0.72 Identification (biology)AntimicrobialAntimicrobial peptidesPeptideComputer science
• Generative artificial intelligence and the risk of technodigital colonialism
  The use of Generative Artificial Intelligence has raised concerns related to plagiarism in scientific contexts. However, bad academic writing is far from being the main ethical challenge related to digital transformations in knowledge production. Additionally,…
  openalex Leonardo Cambraia, Monique Pyrrho 2025-07-02 置信度 0.72 Generative grammarColonialismArtificial intelligenceComputer scienceCognitive science
• Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale
  Abstract The rapid proliferation of artificial intelligence (AI) has sparked both enthusiasm and ethical concerns in societies. As AI continues to permeate daily life, policymakers need to understand how it is perceived by diverse stakeholders and communities.…
  openalex Marcus Novotny, Wiebke Weber, Christoph Kern, Frauke Kreuter 2025-07-31 置信度 0.72 Public opinionScale (ratio)Artificial intelligencePsychologyComputer science
• Artificial intelligence in neurology, ethics, recent guideline, and law-an Indian perspective
  Artificial Intelligence in Neurology, Ethics, Recent Guideline and Law- An Indian PerspectiveIntroductionArtificial intelligence (AI), a boon, kept healthcare professionals safe during the COVID-19 era in the form of “Tommy,” the robot nurse in Italy or “Mitra…
  openalex Tithishri Kundu, Mainak Bardhan 2025-04-02 置信度 0.72 Perspective (graphical)GuidelineEngineering ethicsNeurologyLaw
• Artificial Intelligence in Prostate MRI : Addressing Current Limitations Through Emerging Technologies
  Prostate MRI has transformed lesion detection and risk stratification in prostate cancer, but its impact is constrained by the high cost of the exam, variability in interpretation, and limited scalability. False negatives, false positives, and moderate inter-r…
  openalex Patricia M. Johnson, Lavanya Umapathy, Bradley Gigax, Juan Andres Kochen Rossi 等 2025-12-05 置信度 0.72 WorkflowComputer scienceArtificial intelligenceTriageProstate cancer
• Ethical challenges and regulatory pathways for artificial intelligence in rheumatology
  AI integration in rheumatology is facing unique ethical and regulatory challenges due to longitudinal patient data complexity. Dear Editor, The integration of artificial intelligence (AI) into rheumatology practice raises important ethical considerations that …
  openalex Vincenzo Venerito, Latika Gupta, Saverio Mileto, Florenzo Iannone 等 2025-01-01 置信度 0.72 MedicineRheumatologyInternal medicineEngineering ethicsEngineering
• Assisted artificial intelligence in medical writing: a primer for humans
  Assisted artificial intelligence (A-AI) has rapidly become a gold standard approach for conducting data analysis and medical writing [1]. From executing complex statistical tasks to extracting relevant information and supporting manuscript drafting, A-AI is in…
  openalex Marco Moscarelli, Francesco Pollari, Ilaria Franzese, Fabio Barili 等 2025-06-01 置信度 0.72 Primer (cosmetics)Computer scienceArtificial intelligencePsychologyNatural language processing
• Exploring the complex nature of implementation of Artificial intelligence in clinical practice: an interview study with healthcare professionals, researchers and Policy and Governance Experts
  Artificial Intelligence (AI)-based tools have shown potential to optimize clinical workflows, enhance patient quality and safety, and facilitate personalized treatment. However, transitioning viable AI solutions to clinical implementation remains limited. To u…
  openalex Jobbe P L Leenen, PS Hiemstra, Martine M Ten Hoeve, Anouk C.J. Jansen 等 2025-05-07 置信度 0.72 WorkflowHealth careCorporate governanceMultidisciplinary approachThematic analysis
• Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions
  Electric vehicles are widely adopted globally as a sustainable mode of transportation. With the increased availability of onboard computation and communication capabilities, vehicles are moving towards automated driving and intelligent transportation systems. …
  openalex Sachin Chougule, Bharat S. Chaudhari, Sheetal N. Ghorpade, Marco Zennaro 2024-01-26 置信度 0.72 Cloud computingEnhanced Data Rates for GSM EvolutionData scienceEdge computingComputer science
• Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects
  Liver cancer remains a significant global health concern, ranking as the sixth most common malignancy and the third leading cause of cancer-related deaths worldwide. Medical imaging plays a vital role in managing liver tumors, particularly hepatocellular carci…
  openalex Hori Masatoshi, Yuki Suzuki, Keitaro Sofue, Junya Sato 等 2025-06-19 置信度 0.72 MedicineHepatocellular carcinomaMedical imagingLiver cancerMedical physics
• Artificial intelligence–based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality
  BACKGROUND AND AIMS: Women are underdiagnosed and undertreated for cardiovascular disease (CVD). Automatic quantification of breast arterial calcification (BAC) on screening mammography can identify women at risk for CVD. This study aimed to determine whether …
  openalex Theo Dapamede, Aisha Urooj Khan, Vedant Joshi, Gabrielle Gershon 等 2026-02-10 置信度 0.72 MedicineMaceRisk assessmentInternal medicineDisease
• New tools for diagnosis of primary immunodeficiencies: from awareness to artificial intelligence
  Primary immune deficiencies (PI) are rare diseases associated with frequent, severe infections, inflammatory and autoimmune diseases and/or cancer. Because of the variability in presentation, undiagnosed PI patients can be encountered by many different medical…
  openalex Pere Soler‐Palacín, Jacques G. Rivière, Siobhan O. Burns, Nicholas L. Rider 2025-07-10 置信度 0.72 MedicinePrimary careIntensive care medicinePresentation (obstetrics)Immunology
• Artificial Intelligence in Educational Technology: A Systematic Review of Datasets and Applications
  Artificial Intelligence (AI) has the potential to impact a diverse range of domains. For instance, AI for the education domain has received increasing interest with various applications, including predicting performance, curating learning materials, and automa…
  openalex Luke Topham, Pete Atherton, Tom Reynolds, Yasir Hussain 等 2025-09-15 置信度 0.72 Computer scienceField (mathematics)Domain (mathematical analysis)Data scienceSystematic review
• Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study
  Introduction The use of artificial intelligence (AI) in the scientific process is advancing at a remarkable speed, thanks to continued innovations in large language models. While AI provides widespread benefits, including editing for fluency and clarity, it al…
  openalex Michael R. Fettiplace, Anuj Bhatia, Yian Chen, Steven L. Orebaugh 等 2025-09-02 置信度 0.72 WorkgroupCLARITYDebriefingDelphi methodProcess (computing)
• Changes in public perception of artificial intelligence in healthcare after exposure to ChatGPT
  The public perception of artificial intelligence (AI) in healthcare is key to its large-scale acceptance and implementation. This study investigated how exposure to ChatGPT changed public perception of AI in healthcare, using baseline and follow-up data from 5…
  openalex Anders Aasted Isaksen, Jonas R. Schaarup, Lasse Bjerg, Ádám Hulmán 2025-11-25 置信度 0.72 PerceptionOddsBaseline (sea)Multinomial logistic regressionLogistic regression
• Ophthalmic drug discovery and development using artificial intelligence and digital health technologies
  Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerate each stage of drug discovery and devel…
  openalex Haoran Cheng, Joy Le Yi Wong, Chrystie Wan Ning Quek, Jeffrey L. Goldberg 等 2025-09-25 置信度 0.72 Drug discoveryIdentification (biology)Computer scienceDrug developmentData science
• Enhancing professional communication training in higher education through artificial intelligence(AI)-integrated exercises: study protocol for a randomised controlled trial
  BACKGROUND: Effective communication skills are fundamental for health care professionals, yet conventional training methods face challenges in scalability and accessibility due to resource constraints. The emergence of artificial intelligence (AI), particularl…
  openalex Gunther Meinlschmidt, Sara Koc, Emma Boerner, Marion Tegethoff 等 2025-05-30 置信度 0.72 Protocol (science)UsabilityMedical educationCommunication skills trainingCluster randomised controlled trial
• Artificial Intelligence in Obstetrics and Gynaecology: Advancing Precision and Personalised Care
  Artificial intelligence (AI) is rapidly transforming the landscape of obstetrics and gynaecology, offering unprecedented capabilities in diagnostics, monitoring, and personalised treatment. This review highlights the integration of AI in various domains, inclu…
  openalex Nida Aftab 2025-06-28 置信度 0.72 MedicineObstetrics and gynaecologyObstetricsGynecologyMedical education
• The Role of AI in Reshaping Medical Education: Opportunities and Challenges
  Artificial intelligence (AI) is redefining medical education, bringing new dimensions of personalized learning, enhanced visualization and simulation-based clinical training to the forefront. Additionally, AI-powered simulations offer realistic, immersive trai…
  openalex Majid Ali 2025-02-16 置信度 0.72 Medical educationMEDLINEPsychologyMedicineData science
• Artificial Intelligence Applications in Glioma With 1p/19q Co‐Deletion: A Systematic Review
  As an important genomic marker for oligodendrogliomas, early determination of 1p/19q co-deletion status is critical for guiding therapy and predicting prognosis in patients with glioma. The purpose of this study is to systematically review the literature conce…
  openalex Simin Zhang, Lijuan Yin, Lu Ma, Huaiqiang Sun 2023-04-21 置信度 0.72 GliomaMedicineScopusMagnetic resonance imagingMedical physics
• Toward a new era of healthcare services: the role of artificial intelligence in shaping tomorrow’s landscape
  The rapid advancement of artificial intelligence (AI) has revolutionized various sectors, including healthcare, by enhancing diagnostic precision, operational efficiency and personalized care. Despite its vast potential, integrating AI into healthcare remains …
  openalex Mohammad Hamsal, Faisal Binsar 2025-10-01 置信度 0.72 Health careBig dataKnowledge managementScopusThematic analysis
• Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1
  Introduction: The integration of large language models (LLMs) into healthcare holds immense promise, but also raises critical challenges, particularly regarding the interpretability and reliability of their reasoning processes. While models like DeepSeek R1-wh…
  openalex Birger Moëll, Fredrik Sand Aronsson, Sanian Akbar 2025-06-18 置信度 0.72 Psychology
• Artificial Intelligence Social Responsibility in the Consumer Market: Dimension Exploration and Scale Development
  ABSTRACT This study explored the conceptualization, dimensional structure, and measurement of artificial intelligence (AI) social responsibility in the consumer market. Data were collected through semi‐structured in‐depth interviews with 32 respondents. A grou…
  openalex Shen Peng-yi, Jinxiong Li, Demin Wan 2025-04-21 置信度 0.72 Dimension (graph theory)Scale (ratio)Social responsibilityBusinessMarketing
• Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges
  BACKGROUND: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve detection, r…
  openalex Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika 等 2025-06-03 置信度 0.72 Current (fluid)Computer scienceBone metastasisMetastasisData science
• What generative Artificial Intelligence priorities and challenges do senior Australian educational policy makers identify (and why)?
  Abstract Free access to powerful generative Artificial Intelligence (AI) in schools has left educators and system leaders grappling with how to responsibly respond to the consequent challenges and opportunities that this new technology poses. This paper examin…
  openalex Matt Bower, Michael Henderson, Christine Slade, Erica Southgate 等 2025-01-21 置信度 0.72 Generative grammarPsychologyComputer scienceArtificial intelligence
• DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting
  openalex Giulia Rinaldi, Konstantinos Theodorakos, Fernando Crema Garcia, Oscar Mauricio Agudelo 等 2025-01-14 置信度 0.72 Computer scienceDecision support systemArtificial intelligenceSeries (stratigraphy)Machine learning
• The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study
  This study explores diabetic foot (DF), a severe complication in diabetes, by combining deep learning (DL) and machine learning (ML) to develop a multi-model prediction tool. Early identification of high-risk DF patients can reduce disability and mortality. Th…
  openalex Li Yao, Siyuan Zhou, Bichen Ren, Shuai Ju 等 2025-08-21 置信度 0.72 Computer scienceDiabetic footFoot (prosody)Artificial intelligenceMachine learning