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

Artificial Intelligence (832) Machine Learning (1122) Decision Support for Health Professionals (859) Clinical Information and Decision Making (1048) Digital Health Reviews (957)

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 Yin 1 Author Orcid Image ;   Kee Yuan Ngiam 2 Author Orcid Image ;   Hock Hai Teo 1 Author Orcid Image
Article Authors Cited by (53) Tweetations (49) Metrics

Journals

  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;Publish Ahead of Print 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 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 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 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. Assessing How Clinicians and Staff Would Use a Diabetes Artificial Intelligence Prediction Tool (Preprint). JMIR AI 2022 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 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 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 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 2023:105107 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