Evaluation of Medical Doctor program Students general knowledge and perception towards the use of Artificial Intelligence in Medicine
N. Jojua
, T. Gognadze
, L. Dolidze
Резюме: Objective: The aim of this research was to evaluate the general knowledge about Artificial Intelligence (AI) within the Medical Doctor program students, as well as to evaluate the students' perception towards the use of AI in medicine. Methods: An online questionnaire was designed for students of Medical Doctor program at the European University. Participants were informed about the purpose of the study. The process was anonymized and carried out online. The questionnaire consisted of multiple-choice and Likert-scale questions, covering various aspects related to AI awareness, knowledge, attitudes, and educational preferences. Results: Most of the students answered that they have moderate or the most recent knowledge about AI. Majority of the participants agree that AI is important for the development of medicine and teaching about AI must be included in the undergraduate medical curricular. The number of participants which were not sure and marked neither agree nor disagree for the several questions was quite high. In the free boxes available at the end of the survey students raised the concerns regarding misuse of AI, also issues related to ethics and empathy. Discussion: Despite this, the findings indicate a widespread recognition among participants of the importance of AI in advancing the field of medicine. Many students expressed a belief that AI education should be integrated into undergraduate medical curricula to ensure future healthcare professionals are equipped to leverage AI effectively. Conclusion: To consider the above-mentioned results, we assume that medical schools should provide teaching about AI within the undergraduate medical education.
Series on Biomechanics, Vol.38, No.1 (2024), 63-70
DOI: 10.7546/SB.07.01.2024
Ключови думи: Artificial Intelligence; medicine; undergraduate medical education
| Литература: (click to open/close) | [1] Diaz-Flores E, Meyer T, Giorkallos A., 2022. Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare. Adv Biochem Eng Biotechnol. 2022; 182:23-60. doi: 10.1007/10_2021_189. PMID: 35262750.
[2] Bohr A, Memarzadeh K., 2020. The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare. 2020:25–60. doi: 10.1016/B978-0-12-818438-7.00002-2. Epub 2020 Jun 26. PMCID: PMC7325854.
[3] Kuchava G., Mantskava M. 2021. Brain blood flow control with artificial intelligence. Series on Biomechanics, 35, 2, 73-78
[4] Maslove DM, Elbers PWG, Clermont G., 2021. Artificial intelligence in telemetry: what clinicians should know. Intensive Care Med. 2021 Feb; 47, 2, 150-153. Do,i: 10.1007/s00134-020-06295-w. Epub 2021 Jan 2. PMID: 33386857; PMCID: PMC7776290.
[5] Mollura M, Lehman LH, Mark RG, Barbieri R., 2021. A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis. Philos Trans A Math Phys Eng Sci. 2021 Dec 13; 379(2212):20200252. doi: 10.1098/rsta.2020.0252. Epub 2021 Oct 25. PMID: 34689614; PMCID: PMC8805602.
[6] Miller DD, Brown EW., 2018. Artificial Intelligence in Medical Practice: The Question to the Answer? Am J Med. 2018 Feb;13,12, 129-133. doi: 10.1016/j.amjmed.2017.10.035. Epub 2017 Nov 7. PMID: 29126825.
[7] Jiang L, Wu Z, Xu X, Zhan Y, Jin X, Wang L, Qiu Y., 2021. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. J Int Med Res. 2021 Mar; 49, 3, 3000605211000157. doi: 10.1177/03000605211000157. PMID: 33771068; PMCID: PMC8165857.
[8] Wartman SA, Combs CD., 2018. Medical Education Must Move From the Information Age to the Age of Artificial Intelligence. Acad Med. 2018 Aug;93, 8, 1107-1109. doi: 10.1097/ACM.0000000000002044. PMID: 29095704.
[9] Lee J, Wu AS, Li D, Kulasegaram KM., 2021. Artificial Intelligence in Undergraduate Medical Education: A Scoping Review. Acad Med. 2021 Nov 1, 96(11S), S62-S70. doi: 10.1097/ACM.0000000000004291. PMID: 34348374
[10] Park SH, Pinto-Powell R, Thesen T, Lindqwister A, Levy J, Chacko R, Gonzalez, D, Bridges C, Schwendt A, Byrum T, Fong J, Shasavari S, Hassanpour S., 2024. Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study. Med Educ Online. 2024 Dec 31;29, 1, 2315684. doi: 10.1080/10872981.2024.2315684. Epub 2024 Feb 13. PMID: 38351737; PMCID: PMC10868429
[11] Daher OA, Dabbousi AA, Chamroukh R, Saab AY, Al Ayoubi AR, Salameh P., 2024. Artificial Intelligence: Knowledge and Attitude Among Lebanese Medical Students. Cureus. 2024 Jan 1, 16, 1, e51466. doi: 10.7759/cureus.51466. PMID: 38298326; PMCID: PMC10829838.;
[12] Liu DS, Sawyer J, Luna A, Aoun J, Wang J, Boachie L, Halabi S, Joe B., 2022. Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study. JMIR Med Educ. 2022 Oct 21, 8, 4, e38325. doi: 10.2196/38325. PMID: 36269641; PMCID: PMC9636531.
[13] Pinto dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, Maintz D, Baeßler B., 2019. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019; 29,1640–1646. doi: 10.1007/s00330-018-5601-1.
[14]. Özbek Güven G, Yilmaz Ş, Inceoğlu F., 2024. Determining medical students' anxiety and readiness levels about artificial intelligence. Heliyon. 2024 Feb 9, 10, 4, :e25894. doi: 10.1016/j.heliyon.2024.e25894. PMID: 38384508; PMCID: PMC10878911.
[15] Abdullah YI, Schuman JS, Shabsigh R, Caplan A, Al-Aswad LA., 2021. Ethics of Artificial Intelligence in Medicine and Ophthalmology. Asia Pac J Ophthalmol (Phila). 2021 May-Jun 01; 10, 3, 289-298. doi: 10.1097/APO.0000000000000397. PMID: 34383720; PMCID: PMC9167644.
[16] Savulescu, Julian PhD1; Giubilini, Alberto PhD2; Vandersluis, Robert MA2; Mishra, Abhishek MA2., 2024 . Ethics of artificial intelligence in medicine. Singapore Medical Journal 65, 3, 150-158, March 2024. DOI: 10.4103/singaporemedj.SMJ-2023-279
[17] Farhud DD, Zokaei S., 2021. Ethical Issues of Artificial Intelligence in Medicine and Healthcare. Iran J Public Health. 2021 Nov;50, 11, :i-v. doi: 10.18502/ijph.v50i11.7600. PMID: 35223619; PMCID: PMC8826344.
[18] Sit C, Srinivasan R, Amlani A, Muthuswamy K, Azam A, Monzon L, Poon DS., 2020. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights Imaging. 2020 Feb 5;11, 1,14. doi: 10.1186/s13244-019-0830-7. PMID: 32025951; PMCID: PMC7002761.
[19] Gillissen A, Kochanek T, Zupanic M, Ehlers J., 2022. Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study. Healthcare (Basel). 2022 Apr 13, 0, 4, 723. doi: 10.3390/healthcare10040723. PMID: 35455898; PMCID: PMC9027704.
[20]Laupichler MC, Aster A, Meyerheim M, Raupach T, Mergen M., 2024. Medical students' AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments. BMC Med Educ. 2024 Apr 10;24, 1, 401. doi: 10.1186/s12909-024-05400-7. PMID: 38600457; PMCID: PMC11007897.
[21] Li X, Jiang MY, Jong MS, Zhang X, Chai CS., 2022. Understanding Medical Students' Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study. Int J Environ Res Public Health. 2022 Jul 18;19, 14, 8733. doi: 10.3390/ijerph19148733. PMID: 35886587; PMCID: PMC9315694.
[22] Amiri H, Peiravi S, Rezazadeh Shojaee SS, Rouhparvarzamin M, Nateghi MN, Etemadi MH, ShojaeiBaghini M, Musaie F, Anvari MH, Asadi Anar M., 2024. Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Med Educ. 2024 Apr 15, 24, 1, 412. doi: 10.1186/s12909-024-05406-1. PMID: 38622577; PMCID: PMC11017500.
[23] Gong B., Nugent J.P., Guest W., Parker W., Chang P.J., Khosa F., Nicolaou S., 2019. Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: ANational survey study. Acad. Radiol. 2019; 26, 566–577. doi: 10.1016/j.acra.2018.10.007.
[24] Nurwulan, N.R., Jiang, B.C. 2020. Cross-cultural effect of texting on postural stability. Series on Biomechanics. 2020; 33, 3, 59 - 66
[25] Buabbas AJ, Miskin B, Alnaqi AA, Ayed AK, Shehab AA, Syed-Abdul S, Uddin M., 2023. Investigating Students' Perceptions towards Artificial Intelligence in Medical Education. Healthcare (Basel). 2023 May 1;11, 9, 1298. doi: 10.3390/healthcare11091298. PMID: 37174840; PMCID: PMC10178742.
[26] Lokhov V.A., 2013. Mechanics of biological tissues and systems. Stress and deformation control by eigenstrain: application to mechanics of living and non-living tissues., Series on Biomechanics. 2013, 1, 1-2.
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| Дата на публикуване: 2024-04-23
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