Page 16 - AIH-2-1
P. 16
Artificial Intelligence in Health AI in higher medical education
2021;10:39. 23. Zechner O, Guirao DG, Schrom-Feiertag H, et al.
Multimodal technologies and interaction NextGen training
doi: 10.1186/s13643-020-01542-z
for medical first responders: Advancing mass-casualty
12. Lee J, Wu AS, Li D, Kulasegaram K (Mahan). Artificial incident preparedness through mixed reality technology.
intelligence in undergraduate medical education: A scoping Multimodal Technol Interact. 2023;7:113.
review. Acad Med. 2021;96(11S):S62-S70.
doi: 10.3390/mti7120113
doi: 10.1097/ACM.0000000000004291
24. Balak N, Ganau M, Tsianaka E, Park JJ, Tiefenbach J,
13. Weidener L, Fischer M. Teaching AI ethics in medical Demetriades AK. The role of artificial intelligence in surgical
education: A scoping review of current literature and simulation. Front Med Technol. 2022;4:1076755.
practices. Perspect Med Educ. 2023;12:399-410.
doi: 10.3389/fmedt.2022.1076755
doi: 10.5334/pme.954
25. Neves CA, Tran ED, Kessler IM, Blevins NH. Fully
14. Murat Civaner M, Uncu Y, Bulut F, Chalil G, Tatli A. A three- automated preoperative segmentation of temporal bone
arm single blind randomised control trial of naïve medical structures from clinical CT scans. Sci Rep. 2021;11:116.
students performing a shoulder joint clinical examination.
BMC Med Educ. 2021;22;772. doi: 10.1038/s41598-020-80619-0
doi: 10.1186/s12909-022-03852-3 26. Hamabe A, Ishii M, Kamoda R, et al. Artificial intelligence-
based technology to make a three-dimensional pelvic model
15. Andersson J, Nyholm T, Ceberg C, et al. Artificial intelligence for preoperative simulation of rectal cancer surgery using
and the medical physics profession - a Swedish perspective. MRI. Ann Gastroenterol Surg. 2022;6:788-794.
Phys Med. 2021;88:218-225.
doi: 10.1002/ags3.12574
doi: 10.1016/J.EJMP.2021.07.009
27. Saricilar EC, Burgess A, Freeman A, et al. A pilot study of the
16. Mosch L, Fürstenau D, Brandt J, et al. The medical profession use of artificial intelligence with high-fidelity simulations in
transformed by artificial intelligence: Qualitative study. Digit assessing endovascular procedural competence independent
Health. 2022;8:20552076221143903. of a human examiner. ANZ J Surg. 2023;93:1525-1531.
doi: 10.1177/20552076221143903 doi: 10.1111/ans.18484
17. Garlinska M, Osial M, Proniewska K, Pregowska A. The 28. Mirchi IN, Bissonnette V, Yilmaz R, Ledwos N, Winkler-
influence of emerging technologies on distance education. Schwartz A, Del Maestro RF. The Virtual Operative
Electronics (Switzerland). 2023;12(7):1550. Assistant: An explainable artificial intelligence tool for
doi: 10.3390/electronics12071550 simulation-based training in surgery and medicine. PLoS
One. 2020;15:e0229596.
18. Klauschen F, Dippel J, Keyl P, et al. Toward explainable
artificial intelligence for precision pathology. Annu Rev doi: 10.1371/journal.pone.0229596
Pathol Mech Dis. 2024;19:541-570. 29. Proniewska K, Dolega-Dolegowski D, Kolecki R, Osial M,
doi: 10.1146/annurev-pathmechdis Pregowska A. The 3D operating room with unlimited
perspective change and remote support. In: Applications of
19. Gordon M, Daniel M, Ajiboye A, et al. A scoping review of Augmented Reality - Current State of the Art [Working Title].
artificial intelligence in medical education: BEME Guide London: Intechopen; 2023.
No. 84. Med Teach. 2024;46:446-470.
doi: 10.5772/intechopen.1002252
doi: 10.1080/0142159X.2024.2314198
30. Winkler-Schwartz A, Bissonnette V, Mirchi N, et al.
20. Pinto Dos Santos D, Giese D, Brodehl S, et al. Medical Artificial intelligence in medical education: Best practices
students’ attitude towards artificial intelligence: using machine learning to assess surgical expertise in virtual
A multicentre survey. Eur Radiol. 2019;29:1640-1646.
reality simulation. J Surg Educ. 2019;76(6):1681-1690.
doi: 10.1007/s00330-018-5601-1 doi: 10.1016/J.JSURG.2019.05.015
21. Chengoden R, Victor N, Huynh-The T, et al. Metaverse for 31. Natheir S, Christie S, Yilmaz R, et al. Utilizing artificial
healthcare: A survey on potential applications, challenges intelligence and electroencephalography to assess expertise
and future directions. IEEE Access. 2023;PP:1-1. on a simulated neurosurgical task. Comput Biol Med.
doi: 10.1109/ACCESS.2023.3241628 2023;152:106286.
22. Musamih A, Yaqoob I, Salah K, et al. Metaverse in doi: 10.1016/j.compbiomed.2022.106286
healthcare: Applications, challenges, and future directions. 32. Wölfel M, Taecharungroj V. “What Can ChatGPT Do?”
IEEE Consum Electron Mag. 2023;12(4):33-46.
Analyzing early reactions to the innovative AI Chatbot on
doi: 10.1109/MCE.2022.3223522 twitter. Big Data Cogn Comput. 2023;7:35.
Volume 2 Issue 1 (2025) 10 doi: 10.36922/aih.3276

