LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,224
تعداد مقالات11,159
تعداد مشاهده مقاله76,959,541
تعداد دریافت فایل اصل مقاله101,147,323
MIR, MOHAMMAD MUZAFFAR, MIR, GULZAR MUZAFFAR, RAINA, NADEEM TUFAIL, MIR, SABA MUZAFFAR, MIR, SADAF MUZAFFAR, MISKEEN, ELHADI, ALHARTHI, MUFFARAH HAMID, ALAMRI, MOHANNAD MOHAMMAD S.. (1402). Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives. سامانه مدیریت نشریات علمی, 11(3), 133-140. doi: 10.30476/jamp.2023.98655.1803
MOHAMMAD MUZAFFAR MIR; GULZAR MUZAFFAR MIR; NADEEM TUFAIL RAINA; SABA MUZAFFAR MIR; SADAF MUZAFFAR MIR; ELHADI MISKEEN; MUFFARAH HAMID ALHARTHI; MOHANNAD MOHAMMAD S. ALAMRI. "Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives". سامانه مدیریت نشریات علمی, 11, 3, 1402, 133-140. doi: 10.30476/jamp.2023.98655.1803
MIR, MOHAMMAD MUZAFFAR, MIR, GULZAR MUZAFFAR, RAINA, NADEEM TUFAIL, MIR, SABA MUZAFFAR, MIR, SADAF MUZAFFAR, MISKEEN, ELHADI, ALHARTHI, MUFFARAH HAMID, ALAMRI, MOHANNAD MOHAMMAD S.. (1402). 'Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives', سامانه مدیریت نشریات علمی, 11(3), pp. 133-140. doi: 10.30476/jamp.2023.98655.1803
MIR, MOHAMMAD MUZAFFAR, MIR, GULZAR MUZAFFAR, RAINA, NADEEM TUFAIL, MIR, SABA MUZAFFAR, MIR, SADAF MUZAFFAR, MISKEEN, ELHADI, ALHARTHI, MUFFARAH HAMID, ALAMRI, MOHANNAD MOHAMMAD S.. Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives. سامانه مدیریت نشریات علمی, 1402; 11(3): 133-140. doi: 10.30476/jamp.2023.98655.1803

Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives

Journal of Advances in Medical Education & Professionalism
دوره 11، شماره 3، مهر 2023، صفحه 133-140    اصل مقاله (457.31 K)
نوع مقاله: Review article
شناسه دیجیتال (DOI): 10.30476/jamp.2023.98655.1803
نویسندگان
MOHAMMAD MUZAFFAR MIR* 1؛ GULZAR MUZAFFAR MIR2؛ NADEEM TUFAIL RAINA3؛ SABA MUZAFFAR MIR4؛ SADAF MUZAFFAR MIR5؛ ELHADI MISKEEN6؛ MUFFARAH HAMID ALHARTHI7؛ MOHANNAD MOHAMMAD S. ALAMRI7
1Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha, 61922, Kingdom of Saudi Arabia
2Department of Psychiatry, SKIMS Medical College, Bemina, Srinagar, 190018, J and K, India
3Department of Orthopedics, SKIMS Medical College, Bemina, Srinagar, 190018, J and K, India
4Department of Microbiology, Government Medical College, Srinagar, 190010, J and K, India
5Al-Falah School of Medical Science and Research Centre, Dhauj, Faridabad, 121004, Haryana, India
6Department of Obstetrics and Gynecology, College of Medicine, University of Bisha, Bisha, 61922, Kingdom of Saudi Arabia
7Department of Family Medicine, College of Medicine, University of Bisha, Bisha, 61922, Kingdom of Saudi Arabia
چکیده
Introduction: Medical education is a lifetime learning process stretching from undergraduate to postgraduate, specialty training, and beyond. It also applies to various healthcare professionals, including doctors, nurses, and other allied healthcare professionals. Therefore, it is essential to acknowledge the immense role of artificial intelligence in medical education in the current era of rapidly growing technology.
Methods: High-quality data that met the study objectives were included. In addition, comprehensive investigations on articles available in reputable databases such as PubMed, Research Gate, PubMed central, Web of Science, and Google Scholar were considered for literature review.
Results: Artificial intelligence has fixed various issues in education during the last decade, including language processing, reasoning, planning, and cognitive modelling.
Conclusion: It can be used in medical education in the following forms: Virtual Inquiry System, Medical Distance Learning and Management, and Recording teaching videos in medical schools. It can also enhance the value of the non-analytical humanistic aspects of medicine. The goal of this review article was to present the implications of AI in medical education, now and in the coming years.

تازه های تحقیق

MOHAMMAD MUZAFFAR MIR (Google Scholar)

کلیدواژه‌ها
Medical education؛ Artificial intelligence؛ Machine learning؛ Digital technology
سایر فایل های مرتبط با مقاله
مراجع
  1. Zhao H, Li G, Feng W. Research on application of artificial intelligence in medical education. Proc- Int Conf Eng Simul Intell Control ESAIC, Hunan, China; 2018 Nov 9; pp. 340–2.
  2. Chan KS, Zary N. Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review. JMIR Med Educ. 2019;5(1):e13930.
  3. Han ER, Yeo S, Kim MJ, Lee YH, Park KH, Roh H. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: An integrative review. BMC Med Educ. 2019;19(1):1–15.
  4. Greiner AC, Knebel E. Health Professions Education: A Bridge to Quality. Washington (DC): National Academies Press (US); 2003.
  5. Blumenthal D. Training tomorrow’s doctors: the medical education mission of academic health centers: a report of the Commonwealth Fund Task Force on Academic Health Centers. New York: Commonwealth Fund; 2002.
  6. Garg T. Artificial Intelligence in Medical Education. Am J Med. 2020;133(2):e68.
  7. Wartman SA, Combs CD. Medical education must move from the information age to the age of artificial intelligence. Acad Med. 2018;93(8):1107–9.
  8. Paranjape K, Schinkel M, Panday RN, Car J, Nanayakkara P. Introducing artificial intelligence training in medical education. JMIR Med Educ. 2019;5(2):e16048.
  9. Robeznieks A. 3 ways medical AI can improve workflow for physicians [Internet]. American Medical Association. 2023 [Cited 2023 Jan 06]. Available from: https://www.ama-assn.org/practice-management/digital/3-ways-medical-ai-can-improve-workflow-physicians.
  10. Zimmerschied C. AI, teamed with physicians' intelligence, could improve care American Medical Association [Internet]. American Medical Association. 2023 [Cited 2023 Jan 6]. Available from: https://www-ama-assn-org.libproxy1.nus.edu.sg/practice-management/digital/ai-teamed-physicians-intelligence-could-improve-care.
  11. Smith MT. Project crowdsources specialists' diagnoses for safety-net care [Internet]. American Medical Association. 2023 [Cited 2023 Jan 6]. Available from: https://www.ama-assn.org/practice-management/digital/project-crowdsources-specialists-diagnoses-safety-net-care.
  12. Kohn LT, Corrigan JM, Donaldson MS. To Err is Human: Building a Safer Health System. Washington (DC): National Academies Press (US); 2000.
  13. Ducharme J. MIT Alumni Created Drug Safety Technology [Internet]. 2014 [cited 2023 Jan 8]. Available from: https://www.bostonmagazine.com/health/2014/09/09/medeye-drug-errors/.
  14. Providing A Safety Layer Within Health Data Systems [Internet]. MedAware. 2023 [Cited 2023 Jan 10]. Available from: https://www.medaware.com/.
  15. Simulation Center. WMed [Internet]. 2023 [Cited 2023 Jan 10]. Available from: https://wmed.edu/simulationcenter.
  16. Samra S, Wu A, Redleaf M. Interactive iPhone/iPad App for Increased Tympanic Membrane Familiarity. Ann Otol Rhinol Laryngol. 2016;125(12):997–1000.
  17. Mandler AG. Touch Surgery: A Twenty-First Century Platform for Surgical Training. J Digit Imaging. 2018;31(5):585-90.
  18. Wang W. Medical education in china: progress in the past 70 years and a vision for the future. BMC Medical Education. 2021;21(1):453.
  19. Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94-8.
  20. Bhutoria A. Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education; Artificial Intelligence. 2022;3:100068.
  21. Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. Artificial Intelligence in Healthcare. USA: EY; Building a Better Working World. 2020. pp. 295-336.
  22. Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8(2):e188-94.
  23. Edwards TL, Xue K, Meenink HCM, Beelen MJ, Naus GJL, Simunovic MP, et al. First-in-human study of the safety and viability of intraocular robotic surgery. Nat Biomed Eng. 2018;2(9):649.
  24. Nag HH, Sisodia K, Sheetal P, Govind H, Chandra S. Laparoscopic excision of the choledochal cyst in adult patients: An experience. J Minim Access Surg. 2017;13(4):261.
  25. Schroerlucke SR, Wang MY, Cannestra AF, Good CR, Lim J, Hsu VW, et al. Complication Rate in Robotic-Guided vs Fluoro-Guided Minimally Invasive Spinal Fusion Surgery: Report from MIS Refresh Prospective Comparative Study. Spine J. 2017;17(10):S254–5.
  26. Porpiglia F, Checcucci E, Amparore D, Autorino R, Piana A, Bellin A, et al. Augmented-reality robot-assisted radical prostatectomy using hyper-accuracy three-dimensional reconstruction (HA3DTM) technology: a radiological and pathological study. BJU Int. 2019;123(5):834–45.
  27. Masters K. Artificial intelligence in medical education. Med Teach. 2019;41(9):976–80.
  28. Rigby MJ. Ethical dimensions of using artificial intelligence in health care. AMA J Ethics. 2019;21(2):121–4.
آمار
تعداد مشاهده مقاله: 7,902
تعداد دریافت فایل اصل مقاله: 4,894


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب