This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Artificial Intelligence (2129) Reviews (133) Adoption and Change Management of eHealth Systems (894) Clinical Information and Decision Making (1915)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40238, first published .
Artificial Intelligence Applications in Health Care Practice: Scoping Review

Artificial Intelligence Applications in Health Care Practice: Scoping Review

Artificial Intelligence Applications in Health Care Practice: Scoping Review

Authors of this article:

Malvika Sharma1 Author Orcid Image ;   Carl Savage1, 2 Author Orcid Image ;   Monika Nair2 Author Orcid Image ;   Ingrid Larsson2 Author Orcid Image ;   Petra Svedberg2 Author Orcid Image ;   Jens M Nygren2 Author Orcid Image
Article Authors Cited by (119) Tweetations (22) Metrics

Journals

  1. Sciarretta E, Mancini R, Greco E. Artificial Intelligence for Healthcare and Social Services: Optimizing Resources and Promoting Sustainability. Sustainability 2022;14(24):16464 View
  2. Sinha R, Deb Roy A, Kumar N, Mondal H. Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology. Cureus 2023 View
  3. Adams L, Busch F, Truhn D, Makowski M, Aerts H, Bressem K. What Does DALL-E 2 Know About Radiology?. Journal of Medical Internet Research 2023;25:e43110 View
  4. Díez J, Benavent M. Endocrinología y big data. Endocrinología, Diabetes y Nutrición 2023;70(6):371 View
  5. Ghosh A, Bir A. Evaluating ChatGPT's Ability to Solve Higher-Order Questions on the Competency-Based Medical Education Curriculum in Medical Biochemistry. Cureus 2023 View
  6. Bahakeem B, Alobaidi S, Alzahrani A, Alhasawi R, Alzahrani A, Alqahtani W, Alhashmi Alamer L, Bin Laswad B, Al Shanbari N. The General Population’s Perspectives on Implementation of Artificial Intelligence in Radiology in the Western Region of Saudi Arabia. Cureus 2023 View
  7. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association 2023;30(9):1503 View
  8. Huang C, Chou T. Examining the Dilemma Between Artificial Intelligence Techniques and Professional Medical Service: A Hybrid Balancing Perspective. IT Professional 2023;25(2):36 View
  9. Kar A, Varsha P, Rajan S. Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature. Global Journal of Flexible Systems Management 2023;24(4):659 View
  10. Dhopte A, Bagde H. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence. Cureus 2023 View
  11. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  12. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  13. Agarwal M, Sharma P, Goswami A. Analysing the Applicability of ChatGPT, Bard, and Bing to Generate Reasoning-Based Multiple-Choice Questions in Medical Physiology. Cureus 2023 View
  14. Sonawane A, Shah S, Pote S, He M. The application of artificial intelligence: perceptions from healthcare professionals. Health and Technology 2023;13(5):861 View
  15. Di Bidino R, Piaggio D, Andellini M, Merino-Barbancho B, Lopez-Perez L, Zhu T, Raza Z, Ni M, Morrison A, Borsci S, Fico G, Pecchia L, Iadanza E. Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure. Bioengineering 2023;10(10):1109 View
  16. Díez J, Benavent M. Endocrinology and big data. Endocrinología, Diabetes y Nutrición (English ed.) 2023;70(6):371 View
  17. Ardito V, Cappellaro G, Compagni A, Petracca F, Preti L. Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies. JMIR Research Protocols 2023;12:e47971 View
  18. Ahun E, Demir A, Yiğit Y, Tulgar Y, Doğan M, Thomas D, Tulgar S. Perceptions and concerns of emergency medicine practitioners about artificial intelligence in emergency triage management during the pandemic: a national survey-based study. Frontiers in Public Health 2023;11 View
  19. Nair M, Andersson J, Nygren J, Lundgren L. Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews. JMIR Formative Research 2023;7:e47335 View
  20. Zhang X, Gu Y, Yin J, Zhang Y, Jin C, Wang W, Li A, Wang Y, Su L, Xu H, Ge X, Ye C, Tang L, Shen B, Fang J, Wang D, Feng R. Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study. JMIR Formative Research 2023;7:e42202 View
  21. Brinkmann C. Road map for personalized exercise medicine in T2DM. Trends in Endocrinology & Metabolism 2023;34(12):789 View
  22. Nilsen P, Svedberg P, Neher M, Nair M, Larsson I, Petersson L, Nygren J. A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols 2023;12:e50216 View
  23. Esmaeilzadeh P. Older Adults’ Perceptions About Using Intelligent Toilet Seats Beyond Traditional Care: Web-Based Interview Survey. JMIR mHealth and uHealth 2023;11:e46430 View
  24. Kumar D, Kumar P, Ahmed I, Singh S. INTEGRATING ARTIFICIAL INTELLIGENCE IN DISEASE DIAGNOSIS, TREATMENT, AND FORMULATION DEVELOPMENT: A REVIEW. Asian Journal of Pharmaceutical and Clinical Research 2023:1 View
  25. Jacobs S, Lundy N, Issenberg S, Chandran L. Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence. JMIR Medical Education 2023;9:e50903 View
  26. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
  27. Albagieh H, Alzeer Z, Alasmari O, Alkadhi A, Naitah A, Almasaad K, Alshahrani T, Alshahrani K, Almahmoud M. Comparing Artificial Intelligence and Senior Residents in Oral Lesion Diagnosis: A Comparative Study. Cureus 2024 View
  28. Chen H, Cohen E, Wilson D, Alfred M. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study. JMIR Human Factors 2024;11:e53378 View
  29. Marco-Ruiz L, Hernández M, Ngo P, Makhlysheva A, Svenning T, Dyb K, Chomutare T, Llatas C, Muñoz-Gama J, Tayefi M. A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. International Journal of Medical Informatics 2024;184:105377 View
  30. Dakanalis A, Wiederhold B, Riva G. Artificial Intelligence: A Game-Changer for Mental Health Care. Cyberpsychology, Behavior, and Social Networking 2024;27(2):100 View
  31. Catanese A, Mattiello G, Azam S, Puyalto P. Opiniones de los especialistas y residentes de radiología sobre la inteligencia artificial. Radiología 2025;67(3):287 View
  32. Altunisik E, Firat Y, Cengiz E, Comruk G. Artificial intelligence performance in clinical neurology queries: the ChatGPT model. Neurological Research 2024;46(5):437 View
  33. Younas A, Reynolds S. Leveraging Artificial Intelligence for Expediting Implementation Efforts. Creative Nursing 2024;30(2):111 View
  34. Rippon M, Fleming L, Chen T, Rogers A, Ousey K. Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review. Journal of Wound Care 2024;33(4):229 View
  35. Meng M, Hu J, Liu X, Tian M, Lei W, Liu E, Han Z, Li Q, Chen Y. Barriers and facilitators to guideline for the management of pediatric off-label use of drugs in China: a qualitative descriptive study. BMC Health Services Research 2024;24(1) View
  36. Catanese A, Mattiello G, Azam S, Puyalto P. Radiologists and trainees’ perspectives on artificial intelligence. Radiología (English Edition) 2025;67(3):287 View
  37. Tamrat T, Zhao Y, Schalet D, AlSalamah S, Pujari S, Say L. Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e53888 View
  38. Islam A, Banerjee A, Wati S, Banerjee S, Shrivastava D, Srivastava K. Utilizing Artificial Intelligence Application for Diagnosis of Oral Lesions and Assisting Young Oral Histopathologist in Deriving Diagnosis from Provided Features – A Pilot study. Journal of Pharmacy and Bioallied Sciences 2024;16(Suppl 2):S1136 View
  39. Graafsma J, Murphy R, van de Garde E, Karapinar-Çarkit F, Derijks H, Hoge R, Klopotowska J, van den Bemt P. The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review. Journal of the American Medical Informatics Association 2024;31(6):1411 View
  40. Naseri S, Shukla S, Hiwale K, Jagtap M, Gadkari P, Gupta K, Deshmukh M, Sagar S. From Pixels to Prognosis: A Narrative Review on Artificial Intelligence’s Pioneering Role in Colorectal Carcinoma Histopathology. Cureus 2024 View
  41. Yamamoto K, Sakaguchi M, Onishi A, Yokoyama S, Matsui Y, Yamamoto W, Onizawa H, Fujii T, Murata K, Tanaka M, Hashimoto M, Matsuda S, Morinobu A, Kuwana M. Energy landscape analysis and time-series clustering analysis of patient state multistability related to rheumatoid arthritis drug treatment: The KURAMA cohort study. PLOS ONE 2024;19(5):e0302308 View
  42. Bienefeld N, Keller E, Grote G. Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 View
  43. van Nuland M, Lobbezoo A, van de Garde E, Herbrink M, van Heijl I, Bognàr T, Houwen J, Dekens M, Wannet D, Egberts T, van der Linden P. Assessing accuracy of ChatGPT in response to questions from day to day pharmaceutical care in hospitals. Exploratory Research in Clinical and Social Pharmacy 2024;15:100464 View
  44. Mersha M, Lam K, Wood J, AlShami A, Kalita J. Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction. Neurocomputing 2024;599:128111 View
  45. Huang W, Li Y, Bao Z, Ye J, Xia W, Lv Y, Lu J, Wang C, Zhu X. Knowledge, Attitude and Practice of Radiologists Regarding Artificial Intelligence in Medical Imaging. Journal of Multidisciplinary Healthcare 2024;Volume 17:3109 View
  46. Lopez Santi R, Gupta S, Baranchuk A. Artificial intelligence, the challenge of maintaining an active role. Journal of Electrocardiology 2024;86:153757 View
  47. Sriharan A, Sekercioglu N, Mitchell C, Senkaiahliyan S, Hertelendy A, Porter T, Banaszak-Holl J. Leadership for AI Transformation in Health Care Organization: Scoping Review. Journal of Medical Internet Research 2024;26:e54556 View
  48. Kamel Rahimi A, Pienaar O, Ghadimi M, Canfell O, Pole J, Shrapnel S, van der Vegt A, Sullivan C. Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research 2024;26:e49655 View
  49. Katzburg O, Roimi M, Frenkel A, Ilan R, Bitan Y. The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study. JMIR Human Factors 2024;11:e56924 View
  50. Nair M, Svedberg P, Larsson I, Nygren J, Six S. A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. PLOS ONE 2024;19(8):e0305949 View
  51. Maru S, Matthias M, Kuwatsuru R, Simpson Jr R. Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023. Journal of Medical Internet Research 2024;26:e57750 View
  52. Rego Rodríguez F, Germán Flores L, Vitón-Castillo A. Artificial intelligence and machine learning: present and future applications in health sciences. Seminars in Medical Writing and Education 2022;1:9 View
  53. Liu J, Liang X, Fang D, Zheng J, Yin C, Xie H, Li Y, Sun X, Tong Y, Che H, Hu P, Yang F, Wang B, Chen Y, Cheng G, Zhang J. The Diagnostic Ability of GPT-3.5 and GPT-4.0 in Surgery: Comparative Analysis. Journal of Medical Internet Research 2024;26:e54985 View
  54. Tyskbo D, Nygren J. Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department. Social Science & Medicine 2024;359:117298 View
  55. Kim Y, Seo W, Lee S, Koo J, Kim G, Song H, Lee M. Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study. Journal of Medical Internet Research 2024;26:e62890 View
  56. Hu J, Li C, Ge Y, Yang J, Zhu S, He C. Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024). Journal of Medical Internet Research 2024;26:e58987 View
  57. Ganesan O, Morris M, Guo L, Orgill D. A review of artificial intelligence in wound care. Artificial Intelligence Surgery 2024;4(4):364 View
  58. Crew A, Reidy C, van der Westhuizen H, Graham M. A Narrative Review of Ethical Issues in the Use of Artificial Intelligence Enabled Diagnostics for Diabetic Retinopathy. Journal of Evaluation in Clinical Practice 2025;31(6) View
  59. Gautam D, Kellmeyer P. Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review. JMIR Research Protocols 2025;14:e62865 View
  60. Drummond D, Gonsard A. Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review. Journal of Medical Internet Research 2024;26:e58504 View
  61. Badawy W, Shaban M. Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study. Geriatric Nursing 2025;61:41 View
  62. Lundsten S, Jacobsson M, Rydén P, Mattsson L, Lindgren L, Schirle L. Using AI to Predict Patients’ Length of Stay: PACU Staff’s Needs and Expectations for Developing and Implementing an AI System. Journal of Nursing Management 2024;2024(1) View
  63. Kang A, Wu X. Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model. JMIR Nursing 2024;7:e59442 View
  64. Preti L, Ardito V, Compagni A, Petracca F, Cappellaro G. Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies. Journal of Medical Internet Research 2024;26:e55897 View
  65. Tuncer Şakar C, Keith‐Jopp C, Yet B, Joyner C, Hill A, Roberts J, Marsh W, Morrissey D. A Multi‐Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation. Journal of Multi-Criteria Decision Analysis 2024;31(5-6) View
  66. Pong C, Tseng R, Tham Y, Lum E. Current Implementation of Digital Health in Chronic Disease Management: Scoping Review. Journal of Medical Internet Research 2024;26:e53576 View
  67. Siira E, Johansson H, Nygren J. Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review. Journal of Medical Internet Research 2025;27:e53741 View
  68. Maru S, Kuwatsuru R, Matthias M, Simpson Jr R. Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023). Journal of Medical Internet Research 2025;27:e60148 View
  69. Lopes J, Guimarães T, Duarte J, Santos M. Enhancing Surgery Scheduling in Health Care Settings With Metaheuristic Optimization Models: Algorithm Validation Study. JMIR Medical Informatics 2025;13:e57231 View
  70. Barghouthi E, Owda A, Owda M, Asia M. A Fused Multi-Channel Prediction Model of Pressure Injury for Adult Hospitalized Patients—The “EADB” Model. AI 2025;6(2):39 View
  71. Reed J, Svedberg P, Nygren J. Enhancing the Innovation Ecosystem: Overcoming Challenges to Introducing Information-Driven Technologies in Health Care. Journal of Medical Internet Research 2025;27:e56836 View
  72. Eslam M, Fan J, Yu M, Wong V, Cua I, Liu C, Tanwandee T, Gani R, Seto W, Alam S, Young D, Hamid S, Zheng M, Kawaguchi T, Chan W, Payawal D, Tan S, Goh G, Strasser S, Viet H, Kao J, Kim W, Kim S, Keating S, Yilmaz Y, Kamani L, Wang C, Fouad Y, Abbas Z, Treeprasertsuk S, Thanapirom K, Al Mahtab M, Lkhagvaa U, Baatarkhuu O, Choudhury A, Stedman C, Chowdhury A, Dokmeci A, Wang F, Lin H, Huang J, Howell J, Jia J, Alboraie M, Roberts S, Yoneda M, Ghazinian H, Mirijanyan A, Nan Y, Lesmana C, Adams L, Shiha G, Kumar M, Örmeci N, Wei L, Lau G, Omata M, Sarin S, George J. The Asian Pacific association for the study of the liver clinical practice guidelines for the diagnosis and management of metabolic dysfunction-associated fatty liver disease. Hepatology International 2025;19(2):261 View
  73. Abu-El-Ruz R, AbuHaweeleh M, Hamdan A, Rajha H, Sarah J, Barakat K, Zughaier S. Artificial Intelligence in Bacterial Infections Control: A Scoping Review. Antibiotics 2025;14(3):256 View
  74. Larsson I, Svedberg P, Nygren J, Petersson L. Healthcare leaders’ perceptions of the contribution of artificial intelligence to person-centred care: An interview study. Scandinavian Journal of Public Health 2025;53(1_suppl):72 View
  75. El-Helaly M. Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks. La Medicina del Lavoro 2024;115(2):e2024014 View
  76. Jha T, Suhail S, Northcote J, Moreira A. Artificial Intelligence in Bronchopulmonary Dysplasia: A Review of the Literature. Information 2025;16(4):262 View
  77. Karthikeyan E, Sivaneswari S. Artificial Intelligence in Personalized Medicine for Head and Neck Cancer: Optimizing Prescriptions and Treatment Planning. Biomedical Materials & Devices 2025 View
  78. Pang H, Wang W, Gao S, Zheng X. Development and application of a questionnaire on the smart care needs of older adults living in long-term care communities. Geriatric Nursing 2025;63:51 View
  79. Rice B, Rasmus S, Onders R, Thomas T, Day G, Wood J, Britton C, Hernandez-Boussard T, Hiratsuka V. Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System. Frontiers in Artificial Intelligence 2025;8 View
  80. Wójcik Z, Dimitrova V, Warrington L, Velikova G, Absolom K. Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review. Health and Quality of Life Outcomes 2025;23(1) View
  81. Vorbach S, Putz F, Ganswindt U, Janssen S, Grohmann M, Knippen S, Heinemann F, Shafie R, Peeken J. Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries. Strahlentherapie und Onkologie 2025;201(11):1151 View
  82. Henzler D, Schmidt S, Koçar A, Herdegen S, Lindinger G, Maris M, Bak M, Willems D, Tan H, Lauerer M, Nagel E, Hindricks G, Dagres N, Konopka M. Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels. BMC Health Services Research 2025;25(1) View
  83. Qi Y, Mohamad E, Azlan A, Zhang C. Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences. DIGITAL HEALTH 2025;11 View
  84. Nair M, Nygren J, Nilsen P, Gama F, Neher M, Larsson I, Svedberg P. Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations. Frontiers in Digital Health 2025;7 View
  85. Kandaswamy S, Knake L, Dziorny A, Hernandez S, McCoy A, Hess L, Orenstein E, White M, Kirkendall E, Molloy M, Hagedorn P, Muthu N, Murugan A, Beus J, Mai M, Luo B, Chaparro J. Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010 to 2021: A Systematic Review. Applied Clinical Informatics 2025;16(03):477 View
  86. McKenna S, Chong M, Poulsen A, Turner A, Gorban C, Crouse J, Capon W, Varidel M, Aji M, Scott E, Hickie I, Iorfino F. Weighing Costs and Benefits of Delay and the Acceptance of Two Decision Support Tools in Mental Health Care: Scoping Study Using Quantitative and Qualitative Data. JMIR Human Factors 2025;12:e71678 View
  87. Roos R. Current state of evidence-based practice in clinical physiotherapy. South African Journal of Physiotherapy 2025 View
  88. Wang X, Qi Y, Zhang X, Liu F, Li J. Ultrasound-based artificial intelligence for predicting cervical lymph node metastasis in papillary thyroid cancer: a systematic review and meta-analysis. Frontiers in Endocrinology 2025;16 View
  89. Nesa L, Rony M, Chowdhury S, Naznin M, Halder K, Ara M, Akter N, Mankhin K, Shabnur J, Alam J, Parvin M, Alrazeeni D, Akter F. Artificial Intelligence in Healthcare: A Scoping Review of Medical Professionals' Acceptance and Institutional Challenges in Implementation. Journal of Evaluation in Clinical Practice 2025;31(4) View
  90. Qutishat M, Shakman L. Navigating Challenges in the Integration of Artificial Intelligence in Nursing Practice: An Integrative Literature Review. International Nursing Review 2025;72(3) View
  91. Hoti K, Weidmann A, Stewart D. Learnings from research on artificial intelligence enabled solutions in clinical pharmacy practice and education. International Journal of Clinical Pharmacy 2025;47(4):917 View
  92. Havercamp S, Krahn G, Murray A, Akobirshoev I, Bellamy C, Bonardi A, Breslin M, Zhǎngsūn Brown L, Costa M, Dembo R, Ellsworth D, Hall J, Horner-Johnson W, Hughes D, McGee M, Mudrick N, Otstot E, Parodi G, Sluzalis S, Yee S. A call to action to include disability in intersectional health equity research and policy. The Lancet Regional Health - Americas 2025;49:101199 View
  93. Cangelosi G, Conti A, Caggianelli G, Panella M, Petrelli F, Mancin S, Ratti M, Masini A. Barriers and Facilitators to Artificial Intelligence Implementation in Diabetes Management from Healthcare Workers’ Perspective: A Scoping Review. Medicina 2025;61(8):1403 View
  94. Chantre T, Moreira I, Oliveira M, Sousa H. Does your generation influence your perception of the application of Artificial Intelligence in medicine?. European Archives of Oto-Rhino-Laryngology 2025;282(10):5375 View
  95. Taheri Hosseinkhani N. Economic Evaluation of Artificial Intelligence Integration in Global Healthcare: Balancing Costs, Outcomes, and Investment Value. SSRN Electronic Journal 2025 View
  96. Gupta P, Pearce A, Pham T, Miller M, Brunetti K, Heskett K, Malhotra A, Mayampurath A, Afshar M. Artificial intelligence-driven decision support for patients with acute respiratory failure: a scoping review. Intensive Care Medicine Experimental 2025;13(1) View
  97. Yokoe T, Roversi G, Sevivas N, Kamei N, Diniz P, Pereira H. ChatGPT-4 Responses on Ankle Cartilage Surgery Often Diverge from Expert Consensus: A Comparative Analysis. Foot & Ankle Orthopaedics 2025;10(3) View
  98. Nguyen O, Churpek M, Wiegmann D. Factors Associated with Purpose-, Process-, and Performance-related Trust for Artificial Intelligence Technologies for Clinical Practice Among Healthcare Professionals: A Review of Empirical Research. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2025;14(1):33 View
  99. Huang K, Wu C, Pi R, Fang J. AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction. JMIR Medical Informatics 2025;13:e73995 View
  100. Petersson L, Ahlborg M, Häggström Westberg K. “I Believe That AI Will Recognize the Problem Before It Happens”: Qualitative Study Exploring Young Adults’ Perceptions of AI in Mental Health Care. JMIR Mental Health 2025;12:e76973 View
  101. Kiani F, Asadi F, Hosseini A, Rahmatizadeh S, Hosseini F, Kiani B. Machine learning techniques in hepatic encephalopathy: a scoping review. BMC Medical Informatics and Decision Making 2025;25(1) View
  102. Cresswell K, Williams R, Dungey S, Anderson S, Bernabeu M, Mozaffar H, Yang X, Sai V, Bea S, Eason S. A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab. npj Digital Medicine 2025;8(1) View
  103. Eke C, Shuib L, Phiri M. A comprehensive survey of AI trust frameworks in healthcare: current state and future directions. Health Services and Outcomes Research Methodology 2025 View
  104. Attard J, Siviter E, Millard A, Issa E, Garcea G, Dennison A, Isherwood J. Artificial intelligence for hepatobiliary and pancreatic cancer: Ethics, equity, and real-world integration. Clinical Surgical Oncology 2025;4(4):100100 View
  105. Larsson I, Siira E, Nygren J, Petersson L, Svedberg P, Nilsen P, Neher M. Integrating AI-based triage in primary care: a qualitative study of Swedish healthcare professionals’ experiences applying normalization process theory. BMC Primary Care 2025;26(1) View
  106. Zhao L, Yang C, Chen C, Wang T, Xiang N, Peng L, Zhang S. Exploration of the assessment of clinical decision-making capabilities in Clinical Oncology based on generative large language models. European Journal of Surgical Oncology 2026;52(1):111175 View
  107. Shah N, Castellanos A, Chen Y, Piette J, Bucher A, Murphy S. A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases. Arthritis Care & Research 2025 View
  108. Devereaux A. Hot nudges on hazy landscapes. Mind & Society 2025 View
  109. Chen C, Ren Z, Zong H, Xiong Y, Hong Y. Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach. Frontiers in Neurology 2025;16 View

Books/Policy Documents

  1. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View
  2. Manek A, Priyanga P, Christa S, Dawda N. Data Science and Big Data Analytics. View
  3. Sahiwal U, Chaturvedi V. Healthcare Administration and Managerial Training in the 21st Century. View
  4. Papadopoulou P, Apostolaki S, Lytras M, Konstantinopoulou S. Policies, Initiatives, and Innovations for Global Health. View
  5. Reepu , Kaur G, Sharma S. AI Marketing and Ethical Considerations in Consumer Engagement. View
  6. Babu T, Nair R, S. K. AI Techniques for Multimedia Data Processing. View
  7. Murala D, Panda S, Ponnapalli V, Gantayat P. Adaptive Artificial Intelligence. View
  8. Aizuddin A, Loh B, Then P. Advances and Challenges of Applying AI/GenAI in Design and Process Science. View

Conference Proceedings

  1. Zakiuddin K, Dhale S, Fulzele P. INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES FOR SUSTAINABLE ENERGY MANAGEMENT AND CONTROL 2023: ITSEMC2023. Implementation of AI in healthcare challenges and potential View
  2. Rao A, Jaggi A, Naidu S. 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). MEDFIT-LLM: Medical Enhancements through Domain-Focused Fine Tuning of Small Language Models View