Perceptions of Medical Students towards Artificial Intelligence
Medical Students Towards Artificial Intelligence
DOI:
https://doi.org/10.54393/pjhs.v6i1.2364Keywords:
Artificial Intelligence, Medical Education, Students, Technology DrivenAbstract
The incorporation of technological advancements, particularly Artificial Intelligence has transformed healthcare systems globally, especially post-COVID-19. Medical education faces challenges in incorporating AI due to instructor shortages and high software costs. Understanding medical students' attitudes towards AI is crucial for its successful integration into medical practice and education. Objective: To evaluate the attitude of medical undergraduate students towards AI in medicine. Methods: A descriptive, online cross-sectional study was executed among undergraduate medical students utilizing a non-probability convenience sampling. The questionnaire, distributed to 340 participants, included demographic details, perceptions towards artificial intelligence, and its effect on medical education. A total of 252 responses were received, receiving a 74% response rate. Data analysis was executed through SPSS version 26.0. Results: Demographic characteristics of 252 subjects revealed a mean age of 23.5 years, with a majority being female (74.2%) and in their first to third year of study (58.3%). Participants generally had intermediate computer literacy (75.7%) and used technology consistently for learning (57.5%). Regarding perceptions of AI, most students strongly agreed that AI will significantly impact healthcare (48.8%) and that all medical students should be educated about it (31.3%). Additionally, a substantial majority believed that integrating AI into medical education would enhance its quality (66.6%) and facilitate the learning experience (57.9%). Conclusions: It was concluded that students have positive perceptions regarding AI systems, demonstrating enthusiasm for expanding their knowledge of AI within their medical education.
References
Baudier P, Kondrateva G, Ammi C, Chang V, Schiavone F. Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs. Technovation. 2023 Feb 1;120:102547.doi: 10.1016/j.technovation.2022.102547.
Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The Role of Artificial Intelligence in Healthcare: A Structured Literature Review. BMC Medical Informatics and Decision Making. 2021 Dec; 21: 1-23. doi: 10.1186/s12911-021-01488-9.
Giordano C, Brennan M, Mohamed B, Rashidi P, Modave F, Tighe P. Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers in Digital Health. 2021 Jun; 3: 645232. doi: 10.3389/fdgth.2021.645232.
Ahmed Z, Mohamed K, Zeeshan S, Dong X. Artificial Intelligence with Multi-Functional Machine Learning Platform Development for Better Healthcare and Precision Medicine. Database. 2020; 2020: baaa010. doi: 10.1093/database/baaa010.
Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN et al. Revolutionizing Healthcare: The Role of Artificial Intelligence in Clinical Practice. BioMed Central Medical Education. 2023 Sep; 23(1): 689. doi: 10.1186/s12909-023-04698-z.
Naik N, Hameed BZ, Shetty DK, Swain D, Shah M, Paul R et al. Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Frontiers in Surgery. 2022 Mar; 9: 862322. doi: 10.3389/fsurg.2022.862322.
Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu NY, Bartlett R et al. A Scoping Review of Artificial Intelligence in Medical Education: BEME Guide No. 84. Medical Teacher. 2024 Apr; 46(4): 446-70. doi: 10.1080/0142159X.2024.2314198.
Woithe J and Filipec O. Understanding the Adoption, Perception, and Learning Impact of Chat-Gpt in Higher Education: A Qualitative Exploratory Case Study Analyzing Students’ Perspectives and Experiences with the Ai-Based Large Language Model. 2023.
Bajwa J, Munir U, Nori A, Williams B. Artificial Intelligence in Healthcare: Transforming the Practice of Medicine. Future Healthcare Journal. 2021 Jul; 8(2): e188-94. doi: 10.7861/fhj.2021-0095.
Jebreen K, Radwan E, Kammoun-Rebai W, Alattar E, Radwan A, Safi W, Radwan W, Alajez M. Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine. BMC Medical Education. 2024 May 7;24(1):507. doi: 10.1186/s12909-024-05465-4
Jebreen K, Radwan E, Kammoun-Rebai W, Alattar E, Radwan A, Safi W et al. Perceptions of Undergraduate Medical Students On Artificial Intelligence In Medicine: Mixed-Methods Survey Study from Palestine. BioMed Central Medical Education. 2024 May; 24(1): 507. doi: 10.1186/s12909-024-05465-4.
Azzi S, Gagnon S, Ramirez A, Richards G. Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework. Applied Sciences. 2020 Sep; 10(18): 6553. doi: 10.3390/app10186553.
Buabbas AJ, Miskin B, Alnaqi AA, Ayed AK, Shehab AA, Syed-Abdul S et al. Investigating Students’ Perceptions Towards Artificial Intelligence in Medical Education. In Healthcare. 2023 May; 11(9): 1298. doi: 10.3390/healthcare11091298.
Woo M. An AI Boost for Clinical Trials. Nature. 2019 Sep; 573(7775): S100-. doi: 10.1038/d41586-019-02871-3.
Liu C, Liu X, Wu F, Xie M, Feng Y, Hu C. Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study. Journal of Medical Internet Research. 2018 Sep; 20(9): E11087. doi: 10.2196/11087.
Shuaib A, Arian H, Shuaib A. The Increasing Role of Artificial Intelligence in Health Care: Will Robots Replace Doctors in the Future? International Journal of General Medicine. 2020 Oct: 891-6. doi: 10.2147/IJGM.S268093.
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 into Imaging. 2020 Dec; 11: 1-6. doi: 10.1186/s13244-019-0830-7.
McLennan S, Meyer A, Schreyer K, Buyx A. German Medical Students Views Regarding Artificial Intelligence in Medicine: A Cross-Sectional Survey. PLOS Digital Health. 2022 Oct; 1(10): e0000114. doi: 10.1371/journal.pdig.0000114.
Davenport T and Kalakota R. The Potential for Artificial Intelligence in Healthcare. Future Healthcare Journal. 2019 Jun; 6(2): 94-8. doi: 10.7861/futurehosp.6-2-94.
Al Saad MM, Shehadeh A, Alanazi S, Alenezi M, Eid H, Alfaouri MS et al. Medical Students’ Knowledge and Attitude Towards Artificial Intelligence: An Online Survey. The Open Public Health Journal. 2022 May; 15(1). doi: 10.2174/18749445-v15-e2203290.
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. Academic Radiology. 2019 Apr; 26(4): 566-77. doi: 10.1016/j.acra.2018.10.007.
Lin CC, Huang AY, Lu OH. Artificial Intelligence in Intelligent Tutoring Systems Toward Sustainable Education: A Systematic Review. Smart Learning Environments. 2023 Aug; 10(1): 41. doi: 10.1186/s40561-023-00260-y.
Yousif M, Asghar S, Akbar J, Masood I, Arshad MR, Naeem J et al. Exploring the Perspectives of Healthcare Professionals Regarding Artificial Intelligence; Acceptance and Challenges. BioMed Central Health Services Research. 2024 Dec; 24(1): 1-9. doi: 10.1186/s12913-024-11667-9.
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