Experience and Acceptance of AI, Expert Systems and Robots in Medical Fields
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62502-2_68
Reference11 articles.
1. Abdellatif, H., Al Mushaiqri, M., Albalushi, H., Al-Zaabi, A.A., Roychoudhury, S., Das, S.: Teaching, learning and assessing anatomy with artificial intelligence: the road to a better future. Int. J. Environ. Res. Public Health 19(21), 14209 (2022). https://doi.org/10.3390/ijerph192114209
2. Doumat, G., Daher, D., Ghanem, N.-N., Khater, B.: Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: a national survey study. Front. Artif. Intell. 5, 1015418 (2022). https://doi.org/10.3389/frai.2022.1015418
3. Maicher, K.R., et al.: Using virtual standardized patients to accurately assess information gathering skills in medical students. Med. Teach. 41(9), 1053–1059 (2019). https://doi.org/10.1080/0142159x.2019.1616683
4. Grunhut, J., Wyatt, A.T., Marques, O.: Educating future physicians in artificial intelligence (AI): an integrative review and proposed changes. J. Med. Educ. Curricular Dev. 8, 238212052110368 (2021). https://doi.org/10.1177/23821205211036836
5. Hamdy, H., et al.: Virtual clinical encounter examination (VICEE): a novel approach for assessing medical students’ non-psychomotor clinical competency. Med. Teach. 43(10), 1203–1209 (2021). https://doi.org/10.1080/0142159x.2021.1935828
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