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• ChatGPT and Artificial Intelligence in Graduate Medical Education Program Applications
  openalex Shane C. Quinonez, David A. Stewart, Nikola Banović 2024-08-01 置信度 0.72 Medical educationGraduate medical educationComputer scienceData scienceMedicine
• Ethical Problems in the Use of Artificial Intelligence by University Educators
  This study examines the ethical problems of using artificial intelligence (AI) applications in higher education, focusing on activities performed by university educators. Drawing on Slovak legislation that defines educators’ responsibilities, the study classif…
  openalex Roman Chinoracký, Natália Stalmašeková 2025-10-06 置信度 0.72 Transparency (behavior)Engineering ethicsAutonomyScopusHigher education
• The Importance of Explainable Artificial Intelligence Based Medical Diagnosis
  openalex Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, E. Y. K. Ng 2024-12-18 置信度 0.72 MedicineArtificial intelligenceComputer science
• The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
  The integration of artificial intelligence (AI) in educational measurement has revolutionized assessment methods, enabling automated scoring, rapid content analysis, and personalized feedback through machine learning and natural language processing. These adva…
  openalex Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater 等 2024-06-27 置信度 0.72 Engineering ethicsPsychologyPolitical scienceSociologyEngineering
• Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease
  Nonalcoholic fatty liver disease (NAFLD) is an increasing global health problem and is expected to become the leading indication for liver transplantation.1 There are no approved NAFLD-specific pharmacotherapies, and lifestyle modification is the primary recom…
  openalex Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg, Manuel Romero‐Gómez 等 2023-09-15 置信度 0.72 MedicineNonalcoholic fatty liver diseaseDiseaseReliability (semiconductor)Fatty liver
• Interpretation of Clinical Retinal Images Using an Artificial Intelligence Chatbot
  Purpose To assess the performance of ChatGPT-4 in providing accurate diagnoses to retina teaching cases from OCTCases. Design Cross-sectional study. Subjects Retina teaching cases from OCTCases. Methods We prompted a custom chatbot with 69 retina cases contain…
  openalex Andrew Mihalache, Ryan S. Huang, David Mikhail, Marko M. Popovic 等 2024-05-23 置信度 0.72 ChatbotInterpretation (philosophy)Artificial intelligenceNatural language processingComputer science
• Machine Learning And Artificial Intelligence in Diabetes Prediction And Management: A Comprehensive Review of Models
  Diabetes mellitus is a chronic metabolic disorder with significant global prevalence and associated healthcare burdens, necessitating early detection and effective management strategies. The integration of Machine Learning (ML) and Artificial Intelligence (AI)…
  openalex Md Ashraful Alam, Amir Sohel, Kh Maksudul Hasan, Mohammad Ariful Islam 2024-12-17 置信度 0.72 Artificial intelligenceComputer scienceMachine learning
• Performance of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway
  “Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that d…
  openalex Marthe Larsen, Camilla F. Olstad, Christoph I. Lee, Tone Hovda 等 2024-04-10 置信度 0.72 MedicineReceiver operating characteristicBreast cancerMammographyArtificial intelligence
• Rethinking the value proposition of assessment at a time of rapid development in generative artificial intelligence
  The authors argue for evolving assessment practices by focusing on their value proposition to educators (producing the medical graduates needed for society) rather than protecting existing processes.
  openalex Tim Fawns, Lambert Schuwirth 2023-10-26 置信度 0.72 PropositionValue propositionGenerative grammarValue (mathematics)Psychology
• Accuracy of artificial intelligence-assisted endoscopy in the diagnosis of gastric intestinal metaplasia: A systematic review and meta-analysis
  BACKGROUND AND AIMS: Gastric intestinal metaplasia is a precancerous disease, and a timely diagnosis is essential to delay or halt cancer progression. Artificial intelligence (AI) has found widespread application in the field of disease diagnosis. This study a…
  openalex Na Li, Jian Yang, Xiaodong Li, Yanting Shi 等 2024-05-14 置信度 0.72 Meta-analysisIntestinal metaplasiaEndoscopyMedicineGastroenterology
• Artificial intelligence in medicine
  openalex Adrián Alejandro Ceballos‐López 2023-06-28 置信度 0.72 Artificial intelligenceComputer scienceMedicine
• Artificial Intelligence and Breast Cancer Management: From Data to the Clinic
  Breast cancer (BC) remains a significant threat to women's health worldwide. The oncology field had an exponential growth in the abundance of medical images, clinical information, and genomic data. With its continuous advancement and refinement, artificial int…
  openalex Kaixiang Feng, Zongbi Yi, Binghe Xu 2025-02-20 置信度 0.72 Breast cancerMedicineComputer scienceData scienceArtificial intelligence
• An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD
  Introduction: Accurate tools to inform individual prognosis in patients with autosomal dominant polycystic kidney disease (ADPKD) are lacking. Here, we report an artificial intelligence (AI)-generated method for routinely measuring total kidney volume (TKV). M…
  openalex Jonathan Taylor, Richard Thomas, Peter Metherall, Marieke van Gastel 等 2023-11-04 置信度 0.72 MedicineAutosomal dominant polycystic kidney diseaseCohortSegmentationArtificial intelligence
• Artificial Intelligence Must Be Made More Scientific
  The role of AI within science is growing. Here we assess its impact on research and argue that AI often lacks reproducibility, transparency, objectivity, and mechanistic understanding. To ensure AI benefits research, we need to develop forms of AI that are ful…
  openalex Peter V. Coveney, Roger Highfield 2024-07-27 置信度 0.72 Computer scienceArtificial intelligenceData scienceCognitive sciencePsychology
• A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical Practice
  BACKGROUND: Ambient artificial intelligence (AI) offers the potential to reduce documentation burden and improve efficiency through clinical note generation. Widespread adoption, however, remains limited due to challenges in electronic health record (EHR) inte…
  openalex Majid Afshar, Felice Resnik, Mary Ryan, Josie Hintzke 等 2025-08-28 置信度 0.72 Computer scienceArtificial intelligence
• Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI
  Accurate prediction of recurrence and progression in non-muscle invasive bladder cancer (NMIBC) is essential to inform management and eligibility for clinical trials. Despite substantial interest in developing artificial intelligence (AI) applications in NMIBC…
  openalex Jethro C.C. Kwong, Jeremy Wu, Shamir Malik, Adree Khondker 等 2024-04-18 置信度 0.72 MedicineMEDLINESystematic reviewBladder cancerScopus
• Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries
  As technology continues to improve, health care systems have the opportunity to use a variety of innovative tools for decision-making, including artificial intelligence (AI) applications. However, there has been little research on the feasibility and efficacy …
  openalex Srinivas Emani, Angela Rui, Hermano Alexandre Lima Rocha, Rubina Rizvi 等 2022-02-08 置信度 0.72 Low and middle income countriesWatsonVariety (cybernetics)Cancer survivorshipHealth care
• The Role of Artificial Intelligence in Strategic Planning and Competitive Advantage
  This study investigates how Artificial Intelligence (AI) affects strategic planning and helps industries improve their competitive positions. With digital changes becoming more overwhelming, organisations need to act fast and AI gives them the tools and guidel…
  openalex Mahdi Jafari, Avesta Shahbazi, Md. Abu Kawsar, Seyed Pouyan Mousavi Davoudi 等 2025-07-26 置信度 0.72 Strategic planningCompetitive advantageCompetitive intelligenceComputer scienceBusiness
• Causality-Inspired Taxonomy for Explainable Artificial Intelligence
  As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be complete when seen through the lens of the causality framework. As such, we propo…
  openalex Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva 等 2022-08-19 置信度 0.72 BiometricsDeep learningComputer scienceArtificial intelligenceInternet privacy
• Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence
  Adolescent idiopathic scoliosis (AIS) is the most common type of scoliosis, affecting 1–4% of adolescents. The Scoliosis Research Society-22R (SRS-22R), a health-related quality-of-life instrument for AIS, has allowed orthopedists to measure subjective patient…
  openalex Wenqi Shi, Felipe Giuste, Yuanda Zhu, Ben J. Tamo 等 2025-01-02 置信度 0.72 MedicineScoliosisPhysical therapyCohortRehabilitation
• The Intraoperative Role of Artificial Intelligence Within General Surgery: A Systematic Review
  The role of artificial intelligence has been explored in many industries across the world. The medical field is no exception with studies regarding its use for development of algorithms in cancer screening and its diagnostic utility in clinical radiology. This…
  openalex Deema Othman, Ahmad Kaleem 2024-11-04 置信度 0.72 MedicineField (mathematics)Applications of artificial intelligenceArtificial intelligenceComputer science
• Research and application of artificial intelligence in dentistry from lower-middle income countries – a scoping review
  Artificial intelligence (AI) has been integrated into dentistry for improvement of current dental practice. While many studies have explored the utilization of AI in various fields, the potential of AI in dentistry, particularly in low-middle income countries …
  openalex Fahad Umer, Samira Adnan, Abhishek Lal 2024-02-12 置信度 0.72 ScopusLow and middle income countriesMedicineOral and maxillofacial surgeryDentistry
• Research progress on artificial intelligence technology-assisted diagnosis of thyroid diseases
  With the rapid development of the "Internet + Medical" model, artificial intelligence technology has been widely used in the analysis of medical images. Among them, the technology of using deep learning algorithms to identify features of ultrasound and patholo…
  openalex Lina Yang, Xinyuan Wang, Shixia Zhang, Kun Cao 等 2025-02-20 置信度 0.72 ThyroidMedicineComputer scienceMedical physicsArtificial intelligence
• Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
  BACKGROUND: Artificial intelligence (AI) can radically change almost every aspect of the human experience. In the medical field, there are numerous applications of AI and subsequently, in a relatively short time, significant progress has been made. Cardiology …
  openalex Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, R Crassas 等 2024-05-26 置信度 0.72 Cardiac resynchronization therapyArtificial intelligenceInterventional cardiologyInternal medicineMedicine
• Should Artificial Intelligence Be Used for Physician Documentation to Reduce Burnout?
  1Division of Nephrology, Department of Medicine, Mayo Clinic, Rochester, MN, USA aCorresponding author: Wisit Cheungpasitporn, MD, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN. E-Mail: [email protected] This is an…
  openalex Jing Miao, Charat Thongprayoon, Wisit Cheungpasitporn 2024-03-25 置信度 0.72 LicenseDocumentationBurnoutMedicineFamily medicine
• Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects
  Artificial intelligence (AI) has become increasingly prevalent and significant across many industries, including the dental field. AI has shown accuracy and precision in detecting, evaluating, and predicting diseases. It can imitate human intelligence to carry…
  openalex M. S. Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S. Gowda 等 2024-09-01 置信度 0.72 EndodonticsRoot canalArtificial intelligenceComputer scienceDentistry
• Two artificial intelligence models underperform on examinations in a veterinary curriculum
  OBJECTIVE: Advancements in artificial intelligence (AI) and large language models have rapidly generated new possibilities for education and knowledge dissemination in various domains. Currently, our understanding of the knowledge of these models, such as Chat…
  openalex Michelle C. Coleman, James N. Moore 2024-02-21 置信度 0.72 CurriculumVeterinary medicineArtificial intelligenceComputer scienceMathematics education
• Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspective
  The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the medical domain, allows data to be transmitted across communication networks. In particular, IoMT can help improve the quality of life of citizens and older people by m…
  openalex Firuz Kamalov, Behrouz Pourghebleh, Mehdi Gheisari, Yang Liu 等 2023-02-10 置信度 0.72 Computer scienceThe InternetInternet of ThingsComputer securityInternet privacy
• Ethics and Legal Framework for Trustworthy Artificial Intelligence in Vascular Surgery
  International audience
  openalex Fabien Lareyre, Martin Maresch, Arindam Chaudhuri, Juliette Raffort 2023-01-01 置信度 0.72 TrustworthinessPsychologySocial psychology
• Application of artificial intelligence in electrochemical diagnostics for human health
  Electrochemical sensors, detecting biochemical changes through electrical signals, play a pivotal role in point-of-care diagnostics, especially for detecting specific biomarkers for diseases including cancer, diabetes, obesity, cardiovascular conditions, etc. …
  openalex Koushlesh Ranjan, Basanti Barar, Minakshi Prasad, Gaya Prasad 2025-08-12 置信度 0.72 Artificial intelligenceComputer science
• Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods
  Medical image segmentation is a critical application of computer vision in the analysis of medical images. Its primary objective is to isolate regions of interest in medical images from the background, thereby assisting clinicians in accurately identifying les…
  openalex Yuxiao Gao, Yang Jiang, Yanhong Peng, Fujiang Yuan 等 2025-04-30 置信度 0.72 Artificial intelligenceSegmentationComputer scienceConvolutional neural networkImage segmentation
• Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research
  openalex Artem A. Trotsyuk, Quinn Waeiss, Raina Talwar Bhatia, Brandon J. Aponte 等 2024-11-26 置信度 0.72 Risk analysis (engineering)BusinessMedicine
• Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study
  Introduction: The fields of allergy and immunology are increasingly recognizing the transformative potential of artificial intelligence (AI). Its adoption is reshaping research directions, clinical practices, and healthcare systems. However, a systematic overv…
  openalex Ningkun Xiao, Xin‐Lin Huang, Yujun Wu, Baoheng Li 等 2025-04-09 置信度 0.72 ImmunologyAllergyClinical immunologyMedicine
• Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
  BACKGROUND: Infections caused by soil-transmitted helminths (STHs) are the most prevalent neglected tropical diseases and result in a major disease burden in low- and middle-income countries, especially in school-aged children. Improved diagnostic methods, esp…
  openalex Johan Lundin, Antti Suutala, Oscar Holmström, Samuel Henriksson 等 2024-04-11 置信度 0.72 Ascaris lumbricoidesNecator americanusAncylostoma duodenaleVirtual microscopyTrichuris trichiura
• Artificial Intelligence in Healthcare: 2023 Year in Review
  ABSTRACT Background The infodemic we are experiencing with AI related publications in healthcare is unparalleled. The excitement and fear surrounding the adoption of rapidly evolving AI in healthcare applications pose a real challenge. Collaborative learning f…
  openalex Raghav Awasthi, Shreya Mishra, Rachel Grasfield, Julia Maslinski 等 2024-02-29 置信度 0.72 Health careEconomicsEconomic growth
• Artificial intelligence in a prediction model for postendoscopic retrograde cholangiopancreatography pancreatitis
  OBJECTIVES: In this study we aimed to develop an artificial intelligence-based model for predicting postendoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP). METHODS: We retrospectively reviewed ERCP patients at Nagoya University Hospital (…
  openalex Hidekazu Takahashi, Eizaburo Ohno, Taiki Furukawa, Kentaro Yamao 等 2023-07-14 置信度 0.72 MedicineEndoscopic retrograde cholangiopancreatographyReceiver operating characteristicLogistic regressionPancreatic duct
• What is the influence of psychosocial factors on artificial intelligence appropriation in college students?
  BACKGROUND: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university studen…
  openalex Benicio Gonzalo Acosta Enríquez, María de los Ángeles Guzmán Valle, Marco Arbulú Ballesteros, Julie Catherine Arbulú Castillo 等 2025-01-04 置信度 0.72 PsychologyStructural equation modelingPsychosocialExpectancy theoryAppropriation
• Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review
  BACKGROUND: Applications for artificial intelligence (AI) in ophthalmology are continually evolving. Fundoscopy is one of the oldest ocular imaging techniques but remains a mainstay in posterior segment imaging due to its prevalence, ease of use, and ongoing t…
  openalex Matthew Driban, Audrey Yan, Amrish Selvam, Joshua Ong 等 2024-04-23 置信度 0.72 Neuro-ophthalmologyMedicineMacular degenerationDiabetic retinopathyOptometry
• Artificial intelligence-driven circRNA vaccine development: multimodal collaborative optimization and a new paradigm for biomedical applications
  Circular RNA (circRNA) vaccines have emerged as a groundbreaking innovation in infectious disease prevention and cancer immunotherapy, offering superior stability and reduced immunogenicity compared to conventional linear messenger RNA (mRNA) vaccines. While l…
  openalex Yan Zhao, Huaiyu Wang 2025-05-01 置信度 0.72 Computer scienceArtificial intelligenceNanoroboticsComputational biologyMachine learning
• Application progress of artificial intelligence in managing thyroid disease
  Artificial intelligence (AI) has been used to study thyroid diseases since the 1990s. Previously, it mainly concentrated on the diagnosis of thyroid function and distinguishing benign from malignant thyroid nodules. With the rapid development of machine and de…
  openalex Qing Lu, Yu Wu, Jing Chang, Li Zhang 等 2025-06-17 置信度 0.72 Thyroid nodulesMedicineThyroidThyroid diseaseArtificial intelligence
• Explainable artificial intelligence for genotype-to-phenotype prediction in plant breeding: a case study with a dataset from an almond germplasm collection
  Background Advances in DNA sequencing revolutionized plant genomics and significantly contributed to the study of genetic diversity. However, predicting phenotypes from genomic data remains a challenge, particularly in the context of plant breeding. Despite si…
  openalex Pierfrancesco Novielli, Donato Romano, Stefano Pavan, Pasquale Losciale 等 2024-09-09 置信度 0.72 GermplasmContext (archaeology)TraitPredictive modellingInterpretability
• Artificial Intelligence-Based Left Ventricular Ejection Fraction by Medical Students for Mortality and Readmission Prediction
  Introduction: Point-of-care ultrasound has become a universal practice, employed by physicians across various disciplines, contributing to diagnostic processes and decision-making. Aim: To assess the association of reduced (<50%) left-ventricular ejection frac…
  openalex Ziv Dadon, Moshe Rav, Amir Orlev, Shemy Carasso 等 2024-04-04 置信度 0.72 Ejection fractionMedicineCardiologyInternal medicineHeart failure
• Diagnosis of ADHD using virtual reality and artificial intelligence: an exploratory study of clinical applications
  Introduction: Diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) is based on clinical evaluation of symptoms by a psychiatrist, referencing results of psychological tests. When diagnosing ADHD, the child's behavior and functionality in real-life situ…
  openalex Soohwan Oh, Yoo‐Sook Joung, Tai‐Myoung Chung, Junho Lee 等 2024-06-03 置信度 0.72 Medical diagnosisCBCLClinical psychologyPsychologyExploratory research
• Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells
  Given advancements in large-scale data and AI, integrating multimodal artificial intelligence into cancer research can enhance our understanding of tumor behavior by simultaneously processing diverse biomedical data types. In this review, we explore the potent…
  openalex Pouria Isavand, Sara Sadat Aghamiri, Rada Amin 2024-08-05 置信度 0.72 Computer sciencePrecision medicineMultimodal therapyModalitiesArtificial intelligence
• Artificial Intelligence in Temporomandibular Joint Disorders: An Umbrella Review
  OBJECTIVES: Given the complexity of temporomandibular joint disorders (TMDs) and their overlapping symptoms with other conditions, an accurate diagnosis necessitates a thorough examination, which can be time-consuming and resource-intensive. Consequently, inno…
  openalex Vini Mehta, Snehasish Tripathy, Toufiq Noor, Ankita Mathur 2025-02-01 置信度 0.72 Temporomandibular jointMedicineOsteoarthritisCone beam computed tomographyMEDLINE
• Automatic Medical Report Generation: Methods and Applications
  The increasing demand for medical imaging has surpassed the capacity of available radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence (AI) techniques, particularly in automatic medical report generation (AMRG), offer …
  openalex Guo Li, Anas M. Tahir, Dong Zhang, Z. Jane Wang 等 2024-10-17 置信度 0.72 Computer science
• Leadership in radiology in the era of technological advancements and artificial intelligence
  Radiology has evolved from the pioneering days of X-ray imaging to a field rich in advanced technologies on the cusp of a transformative future driven by artificial intelligence (AI). As imaging workloads grow in volume and complexity, and economic as well as …
  openalex Barbara Wichtmann, Daniel Paech, Oleg S. Pianykh, Susie Y. Huang 等 2025-06-27 置信度 0.72 WorkflowAnalyticsTransformative learningAutomationComputer science
• Integrating artificial intelligence into small molecule development for precision cancer immunomodulation therapy
  This perspective examines how artificial intelligence (AI) is transforming small-molecule development for precision cancer immunomodulation therapy. It outlines AI-driven approaches for de novo design, virtual screening, multi-parameter optimization, and ADMET…
  openalex Henry Sutanto, Deasy Fetarayani 2025-10-01 置信度 0.72 Immune systemPrecision medicineComputational biologyCancerTumor microenvironment
• Artificial intelligence and criminal liability in India: exploring legal implications and challenges
  artificial intelligence (ai) is revolutionizing various industries, including the legal landscape, in india.as ai technology becomes more prevalent, questions arise regarding its potential impact on criminal liability.this abstract delves into the legal implic…
  openalex Hifajatali Sayyed 2024-04-19 置信度 0.72 Criminal liabilityLiabilityBusinessLegal liabilityCriminal law
• Assessment of Generative Artificial Intelligence (AI) Models in Creating Medical Illustrations for Various Corneal Transplant Procedures
  PURPOSE: This study aimed to task and assess generative artificial intelligence (AI) models in creating medical illustrations for corneal transplant procedures such as Descemet's stripping automated endothelial keratoplasty (DSAEK), Descemet's membrane endothe…
  openalex Kayvon A Moin, Ayesha A Nasir, Dallas J Petroff, Bosten A Loveless 等 2024-08-26 置信度 0.72 MedicineArtificial intelligenceCorneal TransplantGenerative grammarOphthalmology
• Interactive Heritage: The Role of Artificial Intelligence in Digital Museums
  Museum use of artificial intelligence (AI) is becoming increasingly common, but its contribution to museum attendance is yet to be confirmed. This paper investigates whether the adoption of AI impacts museum visitation using data from 19 museums. Statistical a…
  openalex Ματίνα Κιουρεξίδου, Sofia Stamou 2025-05-06 置信度 0.72 Cultural heritageMuseologyComputer scienceVisual artsMultimedia
• Deep fakes and the Artificial Intelligence Act—An important signal or a missed opportunity?
  Abstract The Artificial Intelligence Act (AI Act) adopted by the European Union might serve as a global regulatory reference point. Heated negotiations over the AI Act have shown that reconciling the interests of numerous stakeholders is not an easy task. As w…
  openalex Mateusz Łabuz 2024-07-01 置信度 0.72 Computer scienceSIGNAL (programming language)Artificial intelligenceCognitive sciencePsychology
• Perspectives of physicians, nurses, and patients on the use of artificial intelligence and robotic nurses in healthcare
  AIM: This study aims to assess the perspectives of physicians, nurses, and patients in Turkey regarding the integration of artificial intelligence (AI) and robotic nurses in healthcare settings while exploring their attitudes toward the use of robots in health…
  openalex Emel Gümüş, Handan Alan 2025-05-27 置信度 0.72 Health careNursingQualitative researchSample (material)Psychology
• Artificial Intelligence Model Predicts Sudden Cardiac Arrest Manifesting With Pulseless Electric Activity Versus Ventricular Fibrillation
  BACKGROUND: There is no specific treatment for sudden cardiac arrest (SCA) manifesting as pulseless electric activity (PEA) and survival rates are low; unlike ventricular fibrillation (VF), which is treatable by defibrillation. Development of novel treatments …
  openalex Lauri Holmström, Bryan Bednarski, Harpriya Chugh, Habiba Aziz 等 2024-01-29 置信度 0.72 MedicinePulseless electrical activityVentricular fibrillationCohortReceiver operating characteristic
• Artificial Intelligence-Powered Surgical Consent: Patient Insights
  Introduction The integration of artificial intelligence (AI) in healthcare has revolutionized patient interactions and service delivery. AI's role extends from supporting clinical diagnostics and enhancing operational efficiencies to potentially improving info…
  openalex Alex Teasdale, Laura Mills, Rhodri Costello 2024-08-29 置信度 0.72 Informed consentMedicineStandardizationConsistency (knowledge bases)Medical education
• Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management
  Recent advancements in wearable healthcare have led to commercially accessible continuous glucose monitoring systems (CGMs) for diabetes management. However, CGMs only monitor glucose levels and lack therapeutic functions, prompting the development of closed‐l…
  openalex Wei Huang, Ivo Pang, Jing Bai, Bin‐Bin Cui 等 2025-01-14 置信度 0.72 Closed loopWearable computerComputer scienceWearable technologyHuman–computer interaction
• Challenges in the Rapid and Responsible Integration of Generative Artificial Intelligence (AI) Into a New Medical School Curriculum
  This study describes a systematic approach to integrate generative artificial intelligence (AI) into our new medical education curriculum at the Quillen College of Medicine while maintaining academic integrity. As medical schools navigate the widespread adopti…
  openalex Gabrielle Rueff, Paul Monaco, Antonio E Rusinol, Mark Hernandez 2025-06-26 置信度 0.72 MedicineCurriculumMedical schoolMedical educationArtificial intelligence
• A pedagogical design for self-regulated learning in academic writing using text-based generative artificial intelligence tools: 6-P pedagogy of plan, prompt, preview, produce, peer-review, portfolio-tracking
  The emergence and popularity of generative artificial intelligence (AI) tools, particularly text-based ones known as large language models, pose both opportunities and challenges to education. The ability of these tools to generate human-like texts based on mi…
  openalex Siu Cheung Kong, John Chi‐Kin Lee, Olson Tsang 2024-01-15 置信度 0.72 Computer scienceGenerative grammarPortfolioTracking (education)Plan (archaeology)
• Artificial intelligence and smile design: An e‐Delphi consensus statement of ethical challenges
  PURPOSE: Smile design software increasingly relies on artificial intelligence (AI). However, using AI for smile design raises numerous technical and ethical concerns. This study aimed to evaluate these ethical issues. METHODS: An international consortium of ex…
  openalex Rata Rokhshad, Teodora Karteva, Akhilanand Chaurasia, Raphaël Richert 等 2024-04-24 置信度 0.72 Statement (logic)DelphiDelphi methodPsychologyEngineering ethics
• Integrating Artificial Intelligence in Education:
  Artificial Intelligence (AI) is transforming educational practices by facilitating personalized learning, automating grading processes, and enhancing support through intelligent tutoring systems. This systematic review explores AI's integration in educational …
  openalex Pema Wangdi 2024-11-14 置信度 0.72 AccountabilityTransparency (behavior)Knowledge managementApplications of artificial intelligenceEngineering ethics
• Artificial Intelligence (AI): A Potential Game Changer in Regenerative Orthopedics—A Scoping Review
  openalex Raju Vaishya, Sakshi Dhall, Abhishek Vaish 2024-06-02 置信度 0.72 Regenerative medicineMedicineOrthopedic surgeryArtificial intelligenceMedical physics
• In the era of responsible artificial intelligence and digitalization: business group digitalization, operations and subsidiary performance
  Abstract With the rapid development of digital technologies, responsible AI has become a critical focus for ensuring ethical and socially conscious advancements in business and operations management. The integration of responsible AI practices in business grou…
  openalex Wei Sun, Shuang Ren, Guiyao Tang 2025-01-03 置信度 0.72 SubsidiaryContext (archaeology)BusinessProcess managementCorporate group
• Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade
  openalex Huibert C. Ruitenbeek, Edwin H. G. Oei, Jacob J. Visser, Richard Kijowski 2024-06-20 置信度 0.72 MedicineGeneralizability theoryImage qualityMagnetic resonance imagingWorkflow
• Radiomics and Artificial Intelligence in Pulmonary Fibrosis
  openalex Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda 2025-01-06 置信度 0.72 RadiomicsMedicineGeneralizability theoryIdiopathic pulmonary fibrosisDisease
• A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening
  In resource-constrained countries like India, mammography-based breast screening is challenging to implement. This state-wide study, funded by the Government of Punjab, evaluated the use of Thermalytix, a low-cost, radiation-free AI tool, for breast cancer scr…
  openalex Karthik Adapa, Ashu Gupta, Sandeep Singh, Hitinder Kaur 等 2025-01-02 置信度 0.72 MedicineMammographyBreast cancerBreast cancer screeningAsymptomatic
• Detecting and Mitigating the Clever Hans Effect in Medical Imaging: A Scoping Review
  openalex Constanza Vásquez-Venegas, Chenwei Wu, Saketh Sundar, Renata Prôa 等 2024-11-25 置信度 0.72 Computer scienceArtificial intelligenceTransparency (behavior)Data scienceMachine learning
• The Barriers and Solution to Artificial Intelligence Adoption in Medical Education: A Qualitative Study
  Background: Nowadays, AI adoption, in medical education is growing rapidly. Studies have been conducted on various aspects of AI in medical education, however, in the context of its challenges and solutions faced with AI adoption is rarely explored through qua…
  openalex Muhammad Junaid Khan, Mehreen Lajber, Nazish Bilal, Sana Khan 等 2024-11-11 置信度 0.72 Qualitative researchPsychologyMedical educationEngineering ethicsKnowledge management
• A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans
  Early detection of metastatic prostate cancer (mPCa) is crucial. Whilst the prostate-specific membrane antigen (PSMA) PET scan has high diagnostic accuracy, it suffers from inter-reader variability, and the time-consuming reporting process. This systematic rev…
  openalex Jianliang Liu, Thomas P. Cundy, Dixon Woon, Nathan Lawrentschuk 2024-01-23 置信度 0.72 Prostate cancerMedicinePet imagingLymph nodeOncology
• Enhanced control of periodontitis by an artificial intelligence‐enabled multimodal‐sensing toothbrush and targeted mHealth micromessages: A randomized trial
  AIM: Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains challenging due to patients' poor performance and adherence to the necessary oral hygiene procedures. Novel, artificial intelligence-enabled multimodal-sensing…
  openalex Yuan Li, Xinyu Wu, M Q Liu, Ke Deng 等 2024-04-17 置信度 0.72 MedicineRandomized controlled trialPeriodontitisOral hygienePopulation
• A Comprehensive and Systematic Review of Multi-Criteria Decision-Making (MCDM) Methods to Solve Decision-Making Problems: Two Decades from 2004 to 2024
  Decision-making in complex, multifaceted scenarios has become increasingly critical across diverse sectors, necessitating robust frameworks like Multi-Criteria Decision-Making (MCDM). Over the past two decades (2004–2024), MCDM has transformed from foundationa…
  openalex Rahul Kumar, Dragan Pamucar 2025-01-23 置信度 0.72 Multiple-criteria decision analysisManagement scienceComputer scienceDecision analysisBusiness decision mapping
• Artificial Intelligence in Planning for Spine Surgery
  PURPOSE OF REVIEW: There has been an expanding role of artificial intelligence (AI) and machine learning (ML) in spine surgery, particularly in operative planning, intraoperative navigation, and postoperative management. With a focus on patient-specific surgic…
  openalex Iyad Ali, Yianni Bakaes, James MacLeod, T. Lee 等 2025-08-26 置信度 0.72 Sports medicineOrthopedic surgeryMedicineGeneral surgerySurgery
• Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It
  L.) are important for agriculture and ecosystems; however, they are threatened by the changing climate. In order to adapt and respond to emerging difficulties, beekeepers require the ability to continuously monitor their beehives. To carry out this, the utiliz…
  openalex Putri Kusuma Astuti, Bettina Hegedűs, Andrzej Oleksa, Zoltán Bagi 等 2024-06-04 置信度 0.72 BeekeepingApiarySustainabilityThreatened speciesEnvironmental resource management
• Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption
  The main aim of this study is to investigate the opportunities, challenges, and barriers in implementing generative artificial intelligence (Gen AI) in personalized patient care plans (PPCPs). This systematic review paper provides a comprehensive analysis of t…
  openalex Mirza Mansoor Baig, Chris Hobson, Hamid GholamHosseini, Ehsan Ullah 等 2024-11-25 置信度 0.72 Software deploymentTransparency (behavior)WorkflowHealth careKnowledge management
• Artificial Intelligence in Healthcare: A Revolutionary Ally or an Ethical Dilemma
  openalex Selçuk Korkmaz 2024-01-25 置信度 0.72 DilemmaHealth careEngineering ethicsEthical dilemmaMedicine
• Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare
  Autonomous and intelligent systems (AIS) are being developed and deployed across a wide range of sectors and encompass a variety of technologies designed to engage in different forms of independent reasoning and self-directed behavior. These technologies may b…
  openalex Carl Macrae 2024-01-21 置信度 0.72 Sociotechnical systemSoftware deploymentResilience (materials science)Risk analysis (engineering)Knowledge management
• The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management
  INTRODUCTION AND AIMS: The future of oral oncology is significantly influenced by the incorporation of artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis and detection of diseases. This article aims to ex…
  openalex Marwan Al‐Raeei 2024-10-12 置信度 0.72 MedicineGeneral surgeryMedical physics
• Emerging Applications of Artificial Intelligence in Edge Computing: A Comprehensive Review
  Edge computing, coupled with Artificial Intelligence (AI), represents a paradigm shift in data processing, enabling real-time analytics and decision-making at the source. By distributing computation closer to the data origin, this integration addresses the cri…
  openalex Yeswanth Dintakurthy, Rama Krishna Innmuri, Sr. Technical Architect, Salesforce, San Francisco, USA. E-mail: ramakrishnainnamuri@gmail.com, Ashutosh Vanteru 等 2025-01-25 置信度 0.72 Computer scienceApplications of artificial intelligenceArtificial intelligenceEnhanced Data Rates for GSM EvolutionEdge computing
• Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study
  Abstract Background Artificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration–approved AI solutions now available in many specialties. This development has far-reaching implications…
  openalex Zoe S. Oftring, Kim Deutsch, Daniel Tolks, Florian Jungmann 等 2025-05-26 置信度 0.72 Medical educationCurriculumQualitative researchPerceptionPsychology
• Artificial intelligence and digital twins for the personalised prediction of hypertension risk
  Hypertension is a significant global health challenge, contributing substantially to morbidity and mortality through its association with various cardiovascular diseases. Traditional approaches to hypertension risk prediction, which rely on broad epidemiologic…
  openalex Akhil Naik, Jakub Nalepa, Agata M. Wijata, J.R. Mahon 等 2025-07-08 置信度 0.72 Computer scienceArtificial intelligenceMachine learning
• Artificial intelligence for automatic and objective assessment of competencies in flexible bronchoscopy
  Background: Bronchoscopy is a challenging technical procedure, and assessment of competence currently relies on expert raters. Human rating is time consuming and prone to rater bias. The aim of this study was to evaluate if a bronchial segment identification s…
  openalex Kristoffer Mazanti Cold, Kaladerhan Agbontaen, Anne Orholm Nielsen, Christian Andersen 等 2024-09-01 置信度 0.72 MedicineBronchoscopyFlexible bronchoscopyMedical physicsArtificial intelligence
• A Systematic Review: The Role of Artificial Intelligence in Lung Cancer Screening in Detecting Lung Nodules on Chest X-Rays
  Background: Lung cancer remains one of the leading causes of cancer-related deaths worldwide. Artificial intelligence (AI) holds significant potential roles in enhancing the detection of lung nodules through chest X-ray (CXR), enabling earlier diagnosis and im…
  openalex Puteri Norliza Megat Ramli, Azimatun Noor Aizuddin, Norfazilah Ahmad, Zuhanis Abdul Hamid 等 2025-01-22 置信度 0.72 Lung cancerReceiver operating characteristicLung cancer screeningMedicineNodule (geology)
• Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation
  Generative artificial intelligence (AI) text-to-image production could reinforce or amplify gender and ethnicity biases. Several text-to-image generative AI tools are used for producing images that represent the medical imaging professions. White male stereoty…
  openalex Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, Eric Rohren 2024-10-22 置信度 0.72 Ethnic groupGenerative grammarArtificial intelligenceImage (mathematics)Computer science
• Phenotypic Selectivity of Artificial Intelligence–Enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction
  BACKGROUND: Artificial intelligence (AI)-enhanced ECG (AI-ECG) models are often designed to detect specific anatomical and functional cardiac abnormalities. Understanding the selectivity of their phenotypic associations is essential to inform their clinical us…
  openalex Philip M. Croon, Lovedeep Singh Dhingra, Dhruva Biswas, Evangelos K. Oikonomou 等 2025-09-01 置信度 0.72 MedicineLogistic regressionInternal medicineCardiologyLeft ventricular hypertrophy
• Clarifying Ethical Dilemmas in Sharpening Students’ Artificial Intelligence Proficiency: Dispelling Myths About Using AI Tools in Higher Education
  Artificial intelligence has been talked about for over half a century now. Still, it became a fast-growing reality in 2023 through modern technologies, such as Meta AI, Open AI, or ChatGPT, and has created some ethical concerns. This research provides examples…
  openalex Bahaudin G. Mujtaba 2024-07-03 置信度 0.72 SharpeningMythologyPsychologyMathematics educationArtificial intelligence
• Artificial intelligence driven bioinformatics for sustainable bioremediation: integrating computational intelligence with ecological restoration
  Environmental pollution from heavy metals and untreated wastewater poses significant risks to ecosystems and human health, highlighting the urgent need for innovative remediation strategies.
  openalex Kashif R. Siddique, Debajyoti Bose, Riya Bhattacharya, Raul V. Rodriguez 等 2025-01-01 置信度 0.72 Computer scienceRestoration ecologyArtificial intelligenceComputational intelligenceEnvironmental remediation
• Artificial Intelligence in Metal–Organic Frameworks from 2013 to 2024: A Bibliometric Analysis
  Abstract The purpose of this work is to analyze the development direction and prospects in the field of artificial intelligence (AI) in metal–organic frameworks (MOFs) and to provide reference information for related research and industry personnel. The scient…
  openalex Jian Cao, Ling Zhou, Fan Gan, Zhipeng You 2025-01-08 置信度 0.72 Web of scienceChinaBibliometricsData scienceField (mathematics)
• Performance of 7 Artificial Intelligence Chatbots on Board-style Endodontic Questions
  INTRODUCTION: The aim of this study was to assess the overall performance of artificial intelligence chatbots in answering board-style endodontic questions. METHODS: One hundred multiple choice endodontic questions, following the style of American Board of End…
  openalex Poorya Jalali, Hossein Mohammad‐Rahimi, Fengming Wang, Fatemeh Sohrabniya 等 2025-06-26 置信度 0.72 Style (visual arts)PsychologyComputer scienceArtVisual arts
• Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare
  In the last few decades, there has been an ongoing transformation of our healthcare system with larger use of sensors for remote care and artificial intelligence (AI) tools. In particular, sensors improved by new algorithms with learning capabilities have prov…
  openalex Marie Geny, Emmanuel Andrès, Samy Talha, Bernard Gény 2024-05-28 置信度 0.72 LiabilitynobodyTelemedicineHealth careComputer science
• Improving traumatic fracture detection on radiographs with artificial intelligence support: a multi-reader study
  Objectives: The aim of this study was to evaluate the diagnostic performance of nonspecialist readers with and without the use of an artificial intelligence (AI) support tool to detect traumatic fractures on radiographs of the appendicular skeleton. Methods: T…
  openalex Rikke Bachmann, Gozde Gunes, Stine Hangaard, Andreas Nexmann 等 2023-12-12 置信度 0.72 Fracture (geology)RadiographyArtificial intelligenceMedicineOrthodontics
• Artificial Intelligence in Mental Health Care: Management Implications, Ethical Challenges, and Policy Considerations
  Adopting AI (Artificial Intelligence) in the provision of psychiatric services has been groundbreaking and has presented other means of handling some of the issues related to traditional methods. This paper aims at analyzing the applicability and efficiency of…
  openalex Stephan Hoose, Kristína Králiková 2024-09-17 置信度 0.72 Mental healthEthical issuesEngineering ethicsMental health carePsychology
• Revealing the Complexity of Fatigue: A Review of the Persistent Challenges and Promises of Artificial Intelligence
  Part I reviews persistent challenges obstructing progress in understanding complex fatigue's biology. Difficulties quantifying subjective symptoms, mapping multi-factorial mechanisms, accounting for individual variation, enabling invasive sensing, overcoming r…
  openalex Thorsten Rudroff 2024-02-19 置信度 0.72 TimelineTransformative learningData scienceArtificial intelligenceComputer science
• Artificial Intelligence in Emergency Trauma Care: A Preliminary Scoping Review
  Abstract: This study aimed to analyze the use of generative artificial intelligence in the emergency trauma care setting through a brief scoping review of literature published between 2014 and 2024. An exploration of the NCBI repository was performed using a s…
  openalex Christian Ventura, Edward E Denton, Jessica A. David 2024-05-01 置信度 0.72 TriageTraumatologyArtificial intelligencePsychological interventionEmergency department
• Artificial Intelligence and the Future of Mental Health in a Digitally Transformed World
  Artificial Intelligence (AI) is reshaping mental healthcare by enabling new forms of diagnosis, therapy, and patient monitoring. Yet this digital transformation raises complex policy and ethical questions that remain insufficiently addressed. In this paper, we…
  openalex Aggeliki Kelly Fanarioti, Kostas Karpouzis 2025-06-30 置信度 0.72 Mental healthPsychologyComputer scienceArtificial intelligenceCognitive science
• Artificial intelligence in pharmacovigilance: a narrative review and practical experience with an expert-defined Bayesian network tool
  BACKGROUND: Pharmacovigilance is vital for monitoring adverse drug reactions (ADRs) and ensuring drug safety. Traditional methods are slow and inconsistent, but artificial intelligence (AI), through automation and advanced analytics, improves efficiency and ac…
  openalex Rogério Caixinha Algarvio, Jaime Conceição, Pedro Pereira Rodrigues, Inês Ribeiro‐Vaz 等 2025-07-30 置信度 0.72 PharmacovigilanceMedicineBayesian networkPatient safetyComputer science
• Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends
  OBJECTIVE: This study aims to shed light on the transformative potential of artificial intelligence (AI) in the early detection and risk assessment of non-communicable diseases (NCDs). STUDY DESIGN: Bibliometric analysis. SETTING: Articles related to AI in ear…
  openalex Arwa M. Al-Dekah, Waleed M. Sweileh 2025-05-01 置信度 0.72 ScopusMedicineIdentification (biology)CitationNon-communicable disease
• A review of artificial intelligence for predicting climate driven infectious disease outbreaks to enhance global health resilience
  The impact of climate change on infectious disease outbreaks demands sophisticated techniques of prediction to protect global health. This review focuses on the impact of artificial intelligence on the prediction of disease outbreaks influenced by climatic fac…
  openalex Syed Azeem Inam 2025-11-23 置信度 0.72 Computer scienceInfectious disease (medical specialty)Artificial intelligenceResilience (materials science)Global health
• Medical Image Segmentation Review: The success of U-Net
  Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread image segmentation architecture due to its flexibility, optimized modul…
  openalex Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia 等 2022-11-27 置信度 0.72 Computer scienceCompendiumSegmentationModular designCategorization
• Educational innovation: Exploring the Potential of Generative Artificial Intelligence in cognitive schema building
  This study explores the use of generative artificial intelligence to enhance teaching and learning experience, focusing on strengthening and consolidating cognitive schemas. Research reveals that schemas can profoundly influence the improvement of the learning…
  openalex Bernarda Aurora Salgado Granda, Yana Inzhivotkina, María Fernanda Ibáñez Apolo, Jorge Ugarte Fajardo 2024-09-30 置信度 0.72 Schema (genetic algorithms)Generative grammarCognitionArtificial intelligenceComputer science
• Teaching English and Artificial Intelligence: EFL Teachers’ Perceptions and Use of ChatGPT
  The integration of Artificial Intelligence (AI) technologies into education has a profound impact on the practice of teaching English as a Foreign Language (EFL). ChatGPT, developed by OpenAI as an AI conversational tool, is capable of revolutionizing the teac…
  openalex Balnur Dilzhan 2024-06-26 置信度 0.72 PerceptionMathematics educationPsychologyPedagogyLinguistics
• Artificial intelligence innovations in neurosurgical oncology: a narrative review
  PURPOSE: Artificial Intelligence (AI) has become increasingly integrated clinically within neurosurgical oncology. This report reviews the cutting-edge technologies impacting tumor treatment and outcomes. METHODS: A rigorous literature search was performed wit…
  openalex Clayton R. Baker, Matthew Pease, Daniel Sexton, Andrew Abumoussa 等 2024-07-03 置信度 0.72 NarrativeNarrative reviewMedicineMedical physicsOncology