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

Artificial Intelligence (1371) Machine Learning (1465) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Digital Health Reviews (1289)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25759, first published .
Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

Authors of this article:

Jiamin Yin1 Author Orcid Image ;   Kee Yuan Ngiam2 Author Orcid Image ;   Hock Hai Teo1 Author Orcid Image
Article Authors Cited by (153) Tweetations (47) Metrics

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  1. Li J, Zhou L, Zhan Y, Xu H, Zhang C, Shan F, Liu L. How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China. Journal of the American Medical Informatics Association 2022;29(12):2041 View
  2. Hasanzad M, Aghaei Meybodi H, Sarhangi N, Larijani B. Artificial intelligence perspective in the future of endocrine diseases. Journal of Diabetes & Metabolic Disorders 2022;21(1):971 View
  3. Tang M, Mu F, Cui C, Zhao J, Lin R, Sun K, Guan Y, Wang J. Research frontiers and trends in the application of artificial intelligence to sepsis: A bibliometric analysis. Frontiers in Medicine 2023;9 View
  4. Mann S, Berdahl C, Baker L, Girosi F, Pani D. Artificial intelligence applications used in the clinical response to COVID-19: A scoping review. PLOS Digital Health 2022;1(10):e0000132 View
  5. Aust J, Pons D. Comparative Analysis of Human Operators and Advanced Technologies in the Visual Inspection of Aero Engine Blades. Applied Sciences 2022;12(4):2250 View
  6. Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
  7. Bloomfield P, Clutton-Brock P, Pencheon E, Magnusson J, Karpathakis K. Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰. The Journal of Climate Change and Health 2021;4:100056 View
  8. Pandya S, Thakur A, Saxena S, Jassal N, Patel C, Modi K, Shah P, Joshi R, Gonge S, Kadam K, Kadam P. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions. Sensors 2021;21(23):7786 View
  9. Weinert L, Müller J, Svensson L, Heinze O. Perspective of Information Technology Decision Makers on Factors Influencing Adoption and Implementation of Artificial Intelligence Technologies in 40 German Hospitals: Descriptive Analysis. JMIR Medical Informatics 2022;10(6):e34678 View
  10. Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study. JMIR Formative Research 2023;7:e43958 View
  11. Li S, Chu Y, Wang Y, Wang Y, Hu S, Wu X, Qi X, Zhang F. Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review. Mediators of Inflammation 2022;2022:1 View
  12. Emani S, Rui A, Rocha H, Rizvi R, Juaçaba S, Jackson G, Bates D. Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries. JMIR Cancer 2022;8(2):e31461 View
  13. Bentwich I. Pharma’s Bio-AI revolution. Drug Discovery Today 2023;28(5):103515 View
  14. Bhaskar D, Chang T, Wang S. Current trends in artificial intelligence in reproductive endocrinology. Current Opinion in Obstetrics & Gynecology 2022;34(4):159 View
  15. Lam T, Cheung M, Munro Y, Lim K, Shung D, Sung J. Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review. Journal of Medical Internet Research 2022;24(8):e37188 View
  16. Keller M, Guebeli A, Thieringer F, Honigmann P. Artificial intelligence in patient-specific hand surgery: a scoping review of literature. International Journal of Computer Assisted Radiology and Surgery 2023;18(8):1393 View
  17. Park G, Lee H, Lee M. Artificial Intelligence-based Healthcare Interventions: A Systematic Review. Korean Journal of Adult Nursing 2021;33(5):427 View
  18. Hobensack M, Song J, Scharp D, Bowles K, Topaz M. Machine learning applied to electronic health record data in home healthcare: A scoping review. International Journal of Medical Informatics 2023;170:104978 View
  19. Pavlopoulos J, Kougia V, Androutsopoulos I, Papamichail D. Diagnostic captioning: a survey. Knowledge and Information Systems 2022;64(7):1691 View
  20. Lederman A, Lederman R, Verspoor K. Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support. Journal of the American Medical Informatics Association 2022;29(10):1810 View
  21. Voets M, Veltman J, Slump C, Siesling S, Koffijberg H. Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah. Value in Health 2022;25(3):340 View
  22. Fritsch S, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167 View
  23. Mueller B, Kinoshita T, Peebles A, Graber M, Lee S. Artificial intelligence and machine learning in emergency medicine: a narrative review. Acute Medicine & Surgery 2022;9(1) View
  24. Hogg H, Al-Zubaidy M, Talks J, Denniston A, Kelly C, Malawana J, Papoutsi C, Teare M, Keane P, Beyer F, Maniatopoulos G. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence. Journal of Medical Internet Research 2023;25:e39742 View
  25. Miró Catalina Q, Fuster-Casanovas A, Solé-Casals J, Vidal-Alaball J. Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study. JMIR Research Protocols 2022;11(11):e39536 View
  26. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  27. Macri R, Roberts S. The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making. Current Oncology 2023;30(2):2178 View
  28. Terry A, Kueper J, Beleno R, Brown J, Cejic S, Dang J, Leger D, McKay S, Meredith L, Pinto A, Ryan B, Stewart M, Zwarenstein M, Lizotte D. Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?. BMC Medical Informatics and Decision Making 2022;22(1) View
  29. Rodriguez P, Veenstra D, Heagerty P, Goss C, Ramos K, Bansal A. A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models. Value in Health 2022;25(3):350 View
  30. Veldhuis L, Woittiez N, Nanayakkara P, Ludikhuize J. Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review. Critical Care Explorations 2022;4(9):e0744 View
  31. Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study. JMIR Research Protocols 2022;11(12):e42208 View
  32. Berdahl C, Baker L, Mann S, Osoba O, Girosi F. Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review. JMIR AI 2023;2:e42936 View
  33. Formosa P, Rogers W, Griep Y, Bankins S, Richards D. Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts. Computers in Human Behavior 2022;133:107296 View
  34. Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren J. Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(10):e40238 View
  35. Tennant R, Graham J, Mercer K, Ansermino J, Burns C. Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol. BMJ Open 2022;12(11):e065429 View
  36. Ren G, Yu K, Xie Z, Wang P, Zhang W, Huang Y, Wang Y, Wu X. Current Applications of Machine Learning in Spine: From Clinical View. Global Spine Journal 2022;12(8):1827 View
  37. Guerrisi A, Falcone I, Valenti F, Rao M, Gallo E, Ungania S, Maccallini M, Fanciulli M, Frascione P, Morrone A, Caterino M. Artificial Intelligence and Advanced Melanoma: Treatment Management Implications. Cells 2022;11(24):3965 View
  38. Mazo C, Aura C, Rahman A, Gallagher W, Mooney C. Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review. Journal of Personalized Medicine 2022;12(9):1496 View
  39. Wamala-Andersson S, Richardson M, Landerdahl Stridsberg S, Ryan J, Sukums F, Goh Y. Artificial Intelligence and Precision Health Through Lenses of Ethics and Social Determinants of Health: Protocol for a State-of-the-Art Literature Review. JMIR Research Protocols 2023;12:e40565 View
  40. Bedi A, Al Masri M, Al Hennawi H, Qadir S, Ottman P. The Integration of Artificial Intelligence Into Patient Care: A Case of Atrial Fibrillation Caught by a Smartwatch. Cureus 2023 View
  41. Fowler G, Blencowe N, Hardacre C, Callaway M, Smart N, Macefield R. Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of surgical pathology in the abdominopelvic cavity: a systematic review. BMJ Open 2023;13(3):e064739 View
  42. Panigutti C, Beretta A, Fadda D, Giannotti F, Pedreschi D, Perotti A, Rinzivillo S. Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Transactions on Interactive Intelligent Systems 2023;13(4):1 View
  43. Valentín Bravo F, Mateos Álvarez E. El impacto de la inteligencia artificial y los modelos de lenguaje en medicina. Archivos de la Sociedad Española de Oftalmología 2023;98(6):305 View
  44. Habib A, Xu Y, Bock K, Mohanty S, Sederholm T, Weeks W, Dodhia R, Ferres J, Perry C, Sacks R, Singh N. Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy. Scientific Reports 2023;13(1) View
  45. Shokrani H, Shokrani A, Seidi F, Kucińska-Lipka J, Makurat-Kasprolewicz B, Saeb M, Ramakrishna S. Artificial intelligence for biomedical engineering of polysaccharides: A short overview. Current Opinion in Biomedical Engineering 2023;27:100463 View
  46. Liaw W, Ramos Silva Y, Soltero E, Krist A, Stotts A. An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study. JMIR AI 2023;2:e45032 View
  47. Valentín Bravo F, Mateos Álvarez E. Impact of artificial intelligence and language models in medicine. Archivos de la Sociedad Española de Oftalmología (English Edition) 2023;98(6):305 View
  48. Chaurasia A, Namachivayam A, Koca-Ünsal R, Lee J. Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis. Journal of Periodontal & Implant Science 2023;53 View
  49. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. Journal of the American Medical Informatics Association 2023;30(7):1349 View
  50. 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
  51. Sun K, Zheng X, Liu W. Increasing clinical medical service satisfaction: An investigation into the impacts of Physicians’ use of clinical decision-making support AI on patients’ service satisfaction. International Journal of Medical Informatics 2023;176:105107 View
  52. Rahman M, Moayedikia A, Wiil U. Editorial: Data-driven technologies for future healthcare systems. Frontiers in Medical Technology 2023;5 View
  53. Hogg H, Al-Zubaidy M, Keane P, Hughes G, Beyer F, Maniatopoulos G. Evaluating the translation of implementation science to clinical artificial intelligence: a bibliometric study of qualitative research. Frontiers in Health Services 2023;3 View
  54. Wang S, Hogg H, Sangvai D, Patel M, Weissler E, Kellogg K, Ratliff W, Balu S, Sendak M. Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study. JMIR Formative Research 2023;7:e43963 View
  55. Adjerid I, Ayvaci M, Özer Ö. Value of Algorithm-Enabled Process Innovation: The Case of Sepsis. Manufacturing & Service Operations Management 2023;25(4):1545 View
  56. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  57. van der Meijden S, Arbous M, Geerts B. Possibilities and challenges for artificial intelligence and machine learning in perioperative care. BJA Education 2023;23(8):288 View
  58. Joudar S, Albahri A, Hamid R, Zahid I, Alqaysi M, Albahri O, Alamoodi A. Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues. Artificial Intelligence Review 2023;56(S1):53 View
  59. Dupuis M, Delbos L, Rouquette A, Adamsbaum C, Veil R. External validation of an artificial intelligence solution for the detection of elbow fractures and joint effusions in children. Diagnostic and Interventional Imaging 2024;105(3):104 View
  60. Jacobs I, Giordano T, Soaper A, Din T, Faig W, de Alarcon A, Balakrishnan K, Prager J, Michael R, Douglas S, Piccione J. A multicenter study analyzing the impact of pre-existing comorbidities on laryngotracheal reconstruction (LTR) outcomes. International Journal of Pediatric Otorhinolaryngology 2023;172:111631 View
  61. Xu J, Xu H, Cao Y, Huang Y, Gao S, Wu Q, Gong T. The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test sets. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2023;17(11):102891 View
  62. Cuthbert R, Simpson A. Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPT) pass Section 1 of the Fellowship of the Royal College of Surgeons (Trauma & Orthopaedics) examination?. Postgraduate Medical Journal 2023;99(1176):1110 View
  63. Agarwal T, Chiesa I, Costantini M, Lopamarda A, Tirelli M, Borra O, Varshapally S, Kumar Y, Koteswara Reddy G, De Maria C, Zhang L, Maiti T. Chitosan and its derivatives in 3D/4D (bio) printing for tissue engineering and drug delivery applications. International Journal of Biological Macromolecules 2023;246:125669 View
  64. Boginskis V, Zadoroznijs S, Cernavska I, Beikmane D, Sauka J. Artificial intelligence effectivity in fracture detection. Medicni perspektivi 2023;28(3):68 View
  65. Singareddy S, SN V, Jaramillo A, Yasir M, Iyer N, Hussein S, Nath T. Artificial Intelligence and Its Role in the Management of Chronic Medical Conditions: A Systematic Review. Cureus 2023 View
  66. Jiao W, Zhang X, D’Souza F. The Economic Value and Clinical Impact of Artificial Intelligence in Healthcare: A Scoping Literature Review. IEEE Access 2023;11:123445 View
  67. Tjardes T, Meyer L, Lotz A, Defosse J, Hensen S, Hirsch P, Salge T, Imach S, Klasen M, Stead S, Walossek N. Anwendung von Systemen der künstlichen Intelligenz im Schockraum. Die Unfallchirurgie 2023;126(7):552 View
  68. 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
  69. Susanto A, Lyell D, Widyantoro B, Berkovsky S, Magrabi F. Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review. Journal of the American Medical Informatics Association 2023;30(12):2050 View
  70. Cleland C, Rwiza J, Evans J, Gordon I, MacLeod D, Burton M, Bascaran C. Artificial intelligence for diabetic retinopathy in low-income and middle-income countries: a scoping review. BMJ Open Diabetes Research & Care 2023;11(4):e003424 View
  71. 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
  72. Chekmeyan M, Baccei S, Garwood E. Cross-Check QA: A Quality Assurance Workflow to Prevent Missed Diagnoses by Alerting Inadvertent Discordance Between the Radiologist and Artificial Intelligence in the Interpretation of High-Acuity CT Scans. Journal of the American College of Radiology 2023;20(12):1225 View
  73. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  74. Kumar R, Sood P, Nirala R, Ade R, Sonaji A. Uses of AI in Field of Radiology- What is State of Doctor & Pateints Communication in Different Disease for Diagnosis Purpose. Journal for Research in Applied Sciences and Biotechnology 2023;2(5):51 View
  75. Calleja-López J, Rivera-Rosas C, Ruibal-Tavares E. Impact of ChatGPT and Artificial Intelligence in the Contemporary Medical Landscape. Archives of Medical Research 2023;54(5):102835 View
  76. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
  77. Liao X, Yao C, Zhang J, Liu L. Recent advancement in integrating artificial intelligence and information technology with real‐world data for clinical decision‐making in China: A scoping review. Journal of Evidence-Based Medicine 2023;16(4):534 View
  78. Lux T, Saßmannshausen Z, Kafetzis I, Sodmann P, Herold K, Sudarevic B, Schmitz R, Zoller W, Meining A, Hann A. Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting. Endoscopy 2023;55(12):1118 View
  79. Wang D, Ding J, Sun A, Liu S, Jiang D, Li N, Yu J. Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias. Journal of the American Medical Informatics Association 2023;30(10):1684 View
  80. Yang J, Hao S, Huang J, Chen T, Liu R, Zhang P, Feng M, He Y, Xiao W, Hong Y, Zhang Z. The application of artificial intelligence in the management of sepsis. Medical Review 2023;3(5):369 View
  81. Pagano S, Holzapfel S, Kappenschneider T, Meyer M, Maderbacher G, Grifka J, Holzapfel D. Arthrosis diagnosis and treatment recommendations in clinical practice: an exploratory investigation with the generative AI model GPT-4. Journal of Orthopaedics and Traumatology 2023;24(1) View
  82. S. Alshuhri M, Al-Musawi S, Al-Alwany A, Uinarni H, Rasulova I, Rodrigues P, Alkhafaji A, Alshanberi A, Alawadi A, Abbas A. Artificial intelligence in cancer diagnosis: Opportunities and challenges. Pathology - Research and Practice 2024;253:154996 View
  83. Stewart J, Freeman S, Eroglu E, Dumitrascu N, Lu J, Goudie A, Sprivulis P, Akhlaghi H, Tran V, Sanfilippo F, Celenza A, Than M, Fatovich D, Walker K, Dwivedi G. Attitudes towards artificial intelligence in emergency medicine. Emergency Medicine Australasia 2024;36(2):252 View
  84. Schneidereith T, Thibault J. The Basics of Artificial Intelligence in Nursing: Fundamentals and Recommendations for Educators. Journal of Nursing Education 2023;62(12):716 View
  85. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  86. Wenderott K, Krups J, Luetkens J, Gambashidze N, Weigl M. Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists’ outcomes. European Journal of Radiology 2024;170:111252 View
  87. 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
  88. Kapa S. The Role of Artificial Intelligence in the Medical Field. Journal of Computer and Communications 2023;11(11):1 View
  89. Cai Z, He H, Huo W, Xu X. More Unique, More Accepting? Integrating Sense of Uniqueness, Perceived Knowledge, and Perceived Empathy with Acceptance of Medical Artificial Intelligence. International Journal of Human–Computer Interaction 2023:1 View
  90. Kausar A, Chang C, Raja M, Zameer A, Shoaib M. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. The European Physical Journal Plus 2024;139(1) View
  91. Tripathi S, Tabari A, Mansur A, Dabbara H, Bridge C, Daye D. From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer. Diagnostics 2024;14(2):174 View
  92. Wenderott K, Krups J, Luetkens J, Weigl M. Radiologists’ perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study. Applied Ergonomics 2024;117:104243 View
  93. Allen M, Webb S, Mandvi A, Frieden M, Tai-Seale M, Kallenberg G. Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care. BMC Primary Care 2024;25(1) View
  94. Romero M, Mosquera Orgueira A, Mejía Saldarriaga M. How artificial intelligence revolutionizes the world of multiple myeloma. Frontiers in Hematology 2024;3 View
  95. Fisch U, Kliem P, Grzonka P, Sutter R. Performance of large language models on advocating the management of meningitis: a comparative qualitative study. BMJ Health & Care Informatics 2024;31(1):e100978 View
  96. Sideris K, Weir C, Schmalfuss C, Hanson H, Pipke M, Tseng P, Lewis N, Sallam K, Bozkurt B, Hanff T, Schofield R, Larimer K, Kyriakopoulos C, Taleb I, Brinker L, Curry T, Knecht C, Butler J, Stehlik J. Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. Journal of the American Medical Informatics Association 2024;31(4):919 View
  97. Ponsiglione A, Zaffino P, Ricciardi C, Di Laura D, Spadea M, De Tommasi G, Improta G, Romano M, Amato F. Combining simulation models and machine learning in healthcare management: strategies and applications. Progress in Biomedical Engineering 2024;6(2):022001 View
  98. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  99. Wang K, Cui H, Zhu Y, Hu X, Hong C, Guo Y, An L, Zhang Q, Liu L. Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study. BMC Cancer 2024;24(1) View
  100. Qiao H, Chen Y, Qian C, Guo Y. Clinical data mining: challenges, opportunities, and recommendations for translational applications. Journal of Translational Medicine 2024;22(1) View
  101. Kannaiyan A, Bagchi S, Vijayan V, Georgiy P, Manickavasagam S, Kumar D. Revolutionizing Women\'s Health: Artificial Intelligence\'s Impact on Obstetrics and Gynecology. Journal of South Asian Federation of Obstetrics and Gynaecology 2024;16(2):161 View
  102. McMahon G. The Risks and Challenges of Artificial Intelligence in Endocrinology. The Journal of Clinical Endocrinology & Metabolism 2024;109(6):e1468 View
  103. Wang Y, Han X, Li C, Luo L, Yin Q, Zhang J, Peng G, Shi D, He M. Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study. Journal of Medical Internet Research 2024;26:e52506 View
  104. Esmaeilzadeh P. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine 2024;151:102861 View
  105. Alshehri S, Alahmari K, Alasiry A. A Comprehensive Evaluation of AI-Assisted Diagnostic Tools in ENT Medicine: Insights and Perspectives from Healthcare Professionals. Journal of Personalized Medicine 2024;14(4):354 View
  106. Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
  107. Triberti S, Di Fuccio R, Scuotto C, Marsico E, Limone P. “Better than my professor?” How to develop artificial intelligence tools for higher education. Frontiers in Artificial Intelligence 2024;7 View
  108. Guerra R. Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes. Italian Journal of Medicine 2024;18(2) View
  109. Maita K, Avila F, Torres-Guzman R, Garcia J, De Sario Velasquez G, Borna S, Brown S, Haider C, Ho O, Forte A. The usefulness of artificial intelligence in breast reconstruction: a systematic review. Breast Cancer 2024;31(4):562 View
  110. Newlands R, Bruhn H, Díaz M, Lip G, Anderson L, Ramsay C. A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide. BMC Health Services Research 2024;24(1) View
  111. Dixon D, Sattar H, Moros N, Kesireddy S, Ahsan H, Lakkimsetti M, Fatima M, Doshi D, Sadhu K, Junaid Hassan M. Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review. Cureus 2024 View
  112. Tsitou V, Rallis D, Tsekova M, Yanev N. Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology. Biotechnology & Biotechnological Equipment 2024;38(1) View
  113. Kausar A, Chang C, Raja M, Shoaib M. A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models. Modern Physics Letters B 2024 View
  114. Petrella R. The AI Future of Emergency Medicine. Annals of Emergency Medicine 2024;84(2):139 View
  115. Scott I, van der Vegt A, Lane P, McPhail S, Magrabi F. Achieving large-scale clinician adoption of AI-enabled decision support. BMJ Health & Care Informatics 2024;31(1):e100971 View
  116. Pressman S, Borna S, Gomez-Cabello C, Haider S, Haider C, Forte A. Clinical and Surgical Applications of Large Language Models: A Systematic Review. Journal of Clinical Medicine 2024;13(11):3041 View
  117. Delfan N, Shahsavari M, Hussain S, Damaševičius R, Acharya U. A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. International Journal of Imaging Systems and Technology 2024;34(4) View
  118. Chenard S, Mika A, Polkowski G, Engstrom S, Wilson J, Martin J. ChatGPT provides safe responses to post-operative concerns following total joint arthroplasty. Current Orthopaedic Practice 2024;35(6):244 View
  119. Wang Y, Fu W, Zhang Y, Wang D, Gu Y, Wang W, Xu H, Ge X, Ye C, Fang J, Su L, Wang J, He W, Zhang X, Feng R. Constructing and implementing a performance evaluation indicator set for artificial intelligence decision support systems in pediatric outpatient clinics: an observational study. Scientific Reports 2024;14(1) View
  120. Mota F, Braga L, Cabral B, Ferreira N, Pinto C, Coelho J, Alves L. Examining the Global Patent Landscape of Artificial Intelligence-Driven Solutions for COVID-19. Machine Learning and Knowledge Extraction 2024;6(3):1619 View
  121. Azharuddin A, Chandran S. Strategic Integration of Artificial Intelligence in Health-care Systems: Assessing Costs, Technological Upgrades, and Training Timelines. Emergency Health Services Journal 2024;1(1):29 View
  122. Yi R, Gantz H, Feldman S. Utilizing artificial intelligence technology with emotional intelligence in clinical office visits. Journal of Dermatological Treatment 2024;35(1) View
  123. 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
  124. Spoladore D, Stella F, Tosi M, Lorenzini E, Bettini C. A knowledge-based decision support system to support family doctors in personalizing type-2 diabetes mellitus medical nutrition therapy. Computers in Biology and Medicine 2024;180:109001 View
  125. Kosvyra A, Filos D, Fotopoulos D, Tsave O, Chouvarda I. Toward Ensuring Data Quality in Multi-Site Cancer Imaging Repositories. Information 2024;15(9):533 View
  126. Reis F, Carvalho M, Neves G, Nogueira L, Meziat-Filho N. Machine learning methods in physical therapy: A scoping review of applications in clinical context. Musculoskeletal Science and Practice 2024;74:103184 View
  127. Kovoor J, Smallbone H, Jenkins A, Stretton B, Santhosh S, Jacobsen J, Gupta A, Zaka A, Nann S, Jiang M, Luo Y, Withers C, Ataie S, Nematzadeh N, Warren L, Marshall‐Webb M, Chan W, McNeil K, Gluck S, Turner R, Tan M, South T, Gilbert T, Hopkins A, Vanlint A, Sweetman G, Bates T, Hansra A, Bacchi S. The future is bright: artificial intelligence for trainee medical officers in Australia and New Zealand. Internal Medicine Journal 2024;54(11):1909 View
  128. Nair P, Keskar M, Borghare P, Methwani D, Nasre Y, Chaudhary M. Artificial Intelligence in Dry Eye Disease: A Narrative Review. Cureus 2024 View
  129. Wenderott K, Krups J, Zaruchas F, Weigl M. Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis. npj Digital Medicine 2024;7(1) View
  130. Owoyemi A, Okpara E, Salwei M, Boyd A. End user experience of a widely used artificial intelligence based sepsis system. JAMIA Open 2024;7(4) View
  131. Dorosan M, Chen Y, Zhuang Q, Lam S. In silico evaluation of algorithm-based clinical decision support systems: Protocol for a scoping review (Preprint). JMIR Research Protocols 2024 View
  132. Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M. Advancements and Applications of Artificial Intelligence in Pharmaceutical Sciences: A Comprehensive Review. Iranian Journal of Pharmaceutical Research 2024;23(1) View
  133. Zhang M, Tang E, Ding H, Zhang Y. Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. Journal of Speech, Language, and Hearing Research 2024;67(11):4369 View
  134. Gonzalez-Garcia A, Pérez-González S, Benavides C, Pinto-Carral A, Quiroga-Sánchez E, Marqués-Sánchez P, Alamri M. Impact of Artificial Intelligence–Based Technology on Nurse Management: A Systematic Review. Journal of Nursing Management 2024;2024(1) View
  135. Voinea Ș, Mămuleanu M, Teică R, Florescu L, Selișteanu D, Gheonea I. GPT-Driven Radiology Report Generation with Fine-Tuned Llama 3. Bioengineering 2024;11(10):1043 View
  136. Mwogosi A, Mambile C, Shao D, Kibinda N. AI-driven innovations for enhancing mental health care in Tanzania: opportunities and challenges. Mental Health and Social Inclusion 2024 View
  137. Nigru A, Benini S, Bonetti M, Bragaglio G, Frigerio M, Maffezzoni F, Leonardi R. External Validation of SpineNetV2 on a Comprehensive Set of Radiological Features for Grading Lumbosacral Disc Pathologies. North American Spine Society Journal (NASSJ) 2024:100564 View
  138. Oh M, Kim H, Jung Y, Lee H, Lee S, Lee S. Explainable Automated Non-linear Computation scoring system for Health (EACH) score : a Machine Learning based Explainable Automated Nonlinear Computation scoring system for Health and an application for prediction of perioperative stroke (Preprint). Journal of Medical Internet Research 2024 View
  139. Nguyen T, Alam S, Hu C, Albiston C, Salehi N. Definitions of Fairness Differ Across Socioeconomic Groups & Shape Perceptions of Algorithmic Decisions. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
  140. Hatem N, Ibrahim M, Yousuf S. Assessing Yemeni university students’ public perceptions toward the use of artificial intelligence in healthcare. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Khadela A, Popat S, Ajabiya J, Valu D, Savale S, Chavda V. Bioinformatics Tools for Pharmaceutical Drug Product Development. View
  2. Cross D, Adler-Milstein J, Holmgren A. Responding to the Grand Challenges in Health Care via Organizational Innovation. View
  3. Shoenbill K, Kasturi S, Mendonca E. Chronic Illness Care. View
  4. Antonio Marín-Castañeda L, de Leon-Mendoza F, Eduardo Valdez-Ruvalcaba H. Advances in Cerebral Aneurysm Treatment. View
  5. Aliferis C, Simon G. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  6. King I, Meng H, Lam T. Artificial Intelligence in Medicine. View
  7. Dargham J, Moung E, Chin R, Mamat M, Wong T. Internet of Things and Artificial Intelligence for Smart Environments. View
  8. Karlapudi T. Human Resource Strategies in the Era of Artificial Intelligence. View
  9. Megahd N, El Kayaly D, Ammar A. Ethical Challenges for the Future of Neurosurgery. View
  10. Shobeiry S. Artificial Intelligence in the Operation and Control of Digitalized Power Systems. View
  11. Kostadinov R, Topalov V, Georgieva M, Georgiev S, Madzharov Y. Environmental Protection and Disaster Risks (EnviroRisks 2024). View