The Knowledge of Students at Bursa Faculty of Medicine towards Artificial Intelligence: A Survey Study
Abstract
Objectives: Artificial intelligence (AI) is being increasingly widely employed in medicine. Various artificial intelligence software solutions will most certainly be available to medical students when they begin their jobs after completing school. The goal of this study was to assess medical faculty students' knowledge and attitudes about AI in medicine.
Methods: In 2020-2021, students at the University of Health Sciences, Bursa Training and Research Hospital participated in an online survey using Google Forms. The survey included sections assessing demographic features and attitudes toward AI in medicine.
Results: The questionnaire was completed by 85 students (57 females and 28 males). 50 medical school students and 35 pediatric medical specialty students completed the questionnaire. The mean time spent on the internet per day was 7.5400 ±3.67123 hours in MS and 3.1143 ± 2.0547 hours in MA (p < 0.001). All of the participants had heard AI before (p = 0.500). 62% of MS and 65.7% of MA worried about AI doing many things today; no statistically significant difference was found between the two groups (p = 0.453). 56.5% of participants felt “curiosity”, 16.4% felt “excited”, 11.8% felt “look positive”, 15.3% felt “frightened” about the increased use of artificial intelligence in our lives. 24% of the MS and 37.1% of the MA knew AI applications used in medicine; there was no statistically significant difference between the two groups (p = 0.191). The most commonly known applications of AI in medicine were in the fields of robotic surgery (10.5%) and radiology (3.6%). While 8% of the MS participated in the project / study related to AI; none of the MA participated, there was a statistically significant difference between the two groups (p = 0.036). On the contrary, the use of AI in medicine was 5.7% in MA; it was never possible in MS, there was no statistically significant difference between the two groups (p = 0.057). 91.8% of the participants would like to use AI in their future careers as physicians. 68% of MS and 94.3% of MA thought AI could not replace doctors in the future; there was a statistically significant difference between the two groups (p = 0.004).
Conclusion: Medical students, who will be the physicians of the future, regarded AI applications positively, and they wanted to gain education and experience in this subject with deep curiosity. Since the knowledge level of future physicians in this field is not sufficient, it is important to provide more AI training in medicine, to participate in more projects in this field, and to increase the use of AI by medical students in the field of medicine.
References
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Abstract
References
- Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017; 69S: S36-S40. doi:10.1016/j.metabol.2017.01.011
- Sniecinski I, Seghatchian J. Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine. Transfus Apher Sci. 2018;57:422-4. doi:10.1016/j.transci.2018.05.004
- Lan K, Wang DT, Fong S, Liu LS, Wong KKL, Dey N. A Survey of Data Mining and Deep Learning in Bioinformatics. J Med Syst. 2018; 42: 139. doi:10.1007/s10916-018-1003-9
- Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi:10.1038/s41591-018-0300-7
- Horgan D, Borisch B, Richer E, Bernini C, Kalra D, Lawler M et al. Propelling Health Care into the Twenties. Biomed Hub. 2020;5(2):15-67. doi:10.1159/000508300
- 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. doi:10.3352/jeehp.2019.16.18
- 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. 2021; 9: 795284. doi:10.3389/fpubh.2021.795284
- Jha N, Shankar PR, Al-Betar MA, Mukhia R, Hada K, Palaian S. Undergraduate medical students’ and interns’ knowledge and perception of artificial intelligence in medicine. Adv Med Educ Pract. 2022;13:927-37. doi:10.2147/AMEP.S3685192022;13:927–937.
- Syed W, Basil A Al-Rawi M. Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia. Medicina (Kaunas). 2023; 59(5):828. doi:10.3390/medicina59050828
- Pinto Dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, et al. Medical students' attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019 ; 29: 1640-6. doi: 10.1007/s00330-018-5601-1
- Busch F, Hoffmann L, Truhn D, Palaian S, Alomar M, Shpati K et al. International pharmacy students' perceptions towards artificial intelligence in medicine-A multinational, multicentre cross-sectional study. Br J Clin Pharmacol. 2023 20. doi: 10.1111/bcp.15911.
- Mousavi Baigi SF, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi AS, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Sci Rep. 2023: 12;6(3):e1138. doi: 10.1002/hsr2.1138.
- Stewart J, Lu J, Gahungu N, Goudie A, Fegan PG, Bennamoun M et al. Western Australian medical students' attitudes towards artificial intelligence in healthcare. PLoS One. 2023 31;18: e0290642. doi: 10.1371/journal.pone.0290642.
- Al Hadithy ZA, Al Lawati A, Al-Zadjali R, Al Sinawi H. Knowledge, Attitudes, and Perceptions of Artificial Intelligence in Healthcare Among Medical Students at Sultan Qaboos University. Cureus. 2023: 8 ;15: e44887. doi: 10.7759/cureus.44887
- Gong B, Nugent JP, Guest W, Parker W, Chang PJ, Khosa F et al. Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study. Acad Radiol. 2019; 26: 566-77. doi: 10.1016/j.acra.2018.10.007.
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- Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ. 2021; 85: 60-8. doi: 10.1002/jdd.12385.
- Park SH, Kim YH, Lee JY, Yoo S, Kim CJ. Ethical challenges regarding artificial intelligence in medicine from the perspective of scientific editing and peer review. Sci Ed. 2019: 13; doi: 10.6087/kcse.164.
- Kazancı, EG, Güven D. Artificial intelligence applications in hematology. Artificial Intelligence Theory and Applications. 2021; 1: 1-7.
Details
| Primary Language | English |
|---|---|
| Subjects | Clinical Sciences (Other) |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | January 29, 2024 |
| Submission Date | November 15, 2023 |
| Acceptance Date | December 31, 2023 |
| Published in Issue | Year 2024 Volume: 2 Issue: 1 |
