Mikić, Darko and Glomazić, Hajdana and Mikić, Andrijana (2023) Medical Students’ perception of the role of Artificial Intelligence in Healthcare. Medicinski pregled, 76 (9-10). pp. 269-274. ISSN 0025-8105
![]() |
Text
Medical Students Perception.....pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (375kB) |
Abstract
Artificial intelligence is defined as a part of computer science capable of manipulating extensive data through machine learning. The aim of this study is to investigate medical students’ perceptions regarding the use of artificial intelligence in the field of healthcare. Material and Methods. This research was conducted as a cross-sectional study using the Computer Assisted Web Interviewing technique for data collection by surveying students through social networks. The sample consists of 160 students who were surveyed in November 2023. The aim was to provide answers to the question of how students perceive the use of new technology – artificial intelligence in the field that represents their future profession. Results. The results have shown a well-developed awareness among students regarding the potential application of artificial intelligence in the medical field, emphasizing a positive perception of the benefits that artificial intelligence can bring. They have also recognized the importance of incorporating artificial intelligence training into medical education. Students have expressed concerns, primarily about potential misuse of artificial intelligence and ethical issues related to its use in medicine. Conclusion. Medical students are aware not only of the benefits but also the risks associated with the implementation of artificial intelligence in medicine.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Artificial Intelligence; Professional Role; Students, Medical; Attitude; Medicine |
Subjects: | H Social Sciences > H Social Sciences (General) |
Depositing User: | Ivana Kovačević |
Date Deposited: | 26 Aug 2025 08:29 |
Last Modified: | 26 Aug 2025 08:29 |
URI: | http://institutecsr.iksi.ac.rs/id/eprint/1150 |
Actions (login required)
![]() |
View Item |