Artificial Intelligence( AI) is increasingly integrated into aspects of human life, including health care, with its applications reaching robotic surgery, virtual nursing assistants, image analysis etc. In the light of transformation potential of AI, the World Medical Association has also supported the fact that education related AI training is essential and should be included in the curriculum of all medical degrees in the near future.Hence, the current study was designed to assess perceptions among medical students related to AI in medicine, their perceived needs with respect to structured AI training during medical education and the understanding of ethical dimensions arising from AI in healthcare.

McCarthy J. What is artificial intelligence? [Internet]. Stanford.edu. [cited 2023 Jul 24]. Available from:

https://www-formal.stanford.edu/jmc/whatisai.pdf.

Turing AM. Computing Machinery and Intelligence. Parsing the Turing Test. Dordrecht: Springer Netherlands;

p.23–65.

Rosenblatt F. The Perceptron-a perceiving and recognizing automaton. 1957.

Nobles AL, Leas EC, Caputi TL, Zhu SH, Strathdee SA, Ayers JW. Responses to addiction help-seeking from

Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants. NPJ Digit Med. 2020;3:11.

1038/s41746-019-0215-9. PMID: 32025572; PMCID: PMC6989668.

Research [Internet]. Openai.com. [cited 2023 Jul 24]. Available from: https://openai.com/research/overview.

Biswal A. Top 18 Artificial Intelligence (AI) applications in 2023 [Internet]. Simplilearn.com. Simplilearn; 2020

[cited 2023 Jul 24]. Available from: https://www.simplilearn.com/tutorials/artificial-intelligence-

tutorial/artificial-intelligence-applications.

Michalski RS, Carbonell JG, Mitchell TM. Machine learning an artificial intelligence approach (volume I).

Morgan Kaufmann; 1984.

Jimma BL. Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports

[Internet]. 2023;9(100041):100041. Available from:

https://www.sciencedirect.com/science/article/pii/S2772503023000014.

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94.

Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatli A. Artificial intelligence in medical education: a cross-sectional

needs assessment. BMC Med Educ. 2022;22(1):772

Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A et al. Development and validation of a

deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA [Internet].

[cited 2023 Jul 24];316(22):2402–10. Available from: https://pubmed.ncbi.nlm.nih.gov/27898976/.

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM et al. Dermatologist-level classification of skin

cancer with deep neural networks. Nature [Internet]. 2017 [cited 2023 Jul 24];542(7639):115–8. Available

from:https://www.nature.com/articles/nature21056.

Ehteshami Bejnordi B, Veta M, van Johannes P, van Ginneken B, Karssemeijer N, Litjens G et al. Diagnostic

assessment of deep learning algorithms for detection of lymph node metastases in women with breast

cancer. JAMA [Internet]. 2017 [cited 2023 Jul 24];318(22):2199–210.

http://dx.doi.org/10.1001/jama.2017.14585.

Yamashita R, Nishio M, Do RKG, Togashi K. Convolutional neural networks: an overview and application in

radiology. Insights Imaging [Internet]. 2018;9(4):611–29. http://dx.doi.org/10.1007/s13244-018-0639-9.

WMA - The World Medical Association-WMA Statement on Augmented Intelligence. in Medical Care

[Internet]. [cited 2023 Jul 17]. Available from: https://www.wma.net/policies-post/wma-statement-on-

augmented-intelligence-in-medical-care/.

Bisdas S, Topriceanu CC, Zakrzewska Z, Irimia AV, Shakallis L, Subhash J et al. Artificial Intelligence in

Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students’ Perception. Front Public

Health [Internet]. 2021 [cited 2023 Jul 10];9. Available from:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739771/.

Grunhut J, Wyatt AT, Marques O. Educating Future Physicians in Artificial Intelligence (AI): An Integrative

Review and Proposed Changes. J Med Educ Curric Dev. 2021;8:23821205211036836.

Artificial intelligence in medical applications and ethical problems: knowledge and thoughts of medical

students Survey form used in: Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatlı A. Artificial intelligence in medical

education: a cross-sectional needs assessment. BMC Medical Education. 2022;22(1):772.

mcivaner@gmail.com.

Pinto Dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, Maintz D, Baeßler B. Medical students'

attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019;29(4):1640–6.

1007/s00330-018-5601-1. Epub 2018 Jul 6. PMID: 29980928.

Wartman SA, Combs CD. Medical Education Must Move From the Information Age to the Age of Artificial Intelligence. Acad Med. 2018;93(8):1107–1109. 10.1097/ACM.0000000000002044. PMID: 29095704.

Wartman SA, Medicine, Machines. and Medical Education. Acad Med. 2021;96(7):947–950.

1097/ACM.0000000000004113. PMID: 33788788.

Fabien Lareyre Cédric, Adam M, Carrier N, Chakfé. Juliette Raffort.Artificial Intelligence for Education of Vascular Surgeons.European Journal of Vascular and Endovascular Surgery,Volume 59, Issue 6,2020,Pages 870–871, -5884,https://doi.org/10.1016/j.ejvs.2020.02.030. (https://www.sciencedirect.com/science/article/pii/S1078588420301659).

Paranjape K, Schinkel M, Nannan Panday R, CAr J, Nanayakkara P. Introducing artificial intelligence training in medical education. JMIR Med Educ. 2019;5:e16048.

Srivastava TK, Waghmere L, Mar. Vol. -14(3): JI01–2.

Park SH, Do KH, Kim S, Park JH, Lim YS. What should medical students know about artificial intelligence in medicine? J Educ Eval Health Prof. 2019;16:18. 10.3352/jeehp.2019.16.18. Epub 2019 Jul 3. PMID:31319450; PMCID: PMC6639123.

Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nat Rev Cancer. 2018;18(8):500.

Sit C, Srinivasan R, Amlani A, Muthuswamy K, Azam A, Monzon L et al. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights Imaging

[Internet]. 2020 Dec [cited 2023 Jul 10];11. Available from:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7002761/.