Attitude of Medical Institution Faculty and Undergraduate Medical Students towards Artificial Intelligence
DOI:
https://doi.org/10.21649/akemu.v31iSpl2.5687Keywords:
Undergraduate, Artificial Intelligence, Medical students, Faculty, GAAISAbstract
Background: Artificial Intelligence (AI) is the science to use computers simulate human behaviors, learning, judgment and decision-making qualities. AI is being successfully used in clinical, diagnostic, rehabilitative, surgical, and predictive practices.
Objectives: Due to increased used of AI in education, this study was designed to assess the perception and attitude of Faculty and undergraduate medical students towards Artificial Intelligence”
Methods: A quantitative analytical study was conducted on undergraduate medical students and faculty at a public sector institute from January, 2024 to March, 2024 after seeking ethical approval. pre-validated and reliable questionnaire General Attitudes towards Artificial Intelligence Scale (GAAIS) was used after taking consent from the authors. Data was analyzed using spss version 25.0, employing Independent Samples t-tests and One-Way ANOVA.
Results: Statistically, the mean score related to positive attitudes towards AI for students was 3.767 (SD = ±0.030), and for faculty, it was 3.762 (SD = ±0.074). Regarding negative attitudes towards AI, the mean score for students was 2.683 (SD = ±0.042), and for faculty, it was 2.622 (SD = ±0.079).
Moreover, a One-Way ANOVA test showed no significant difference in the positive and negative responses towards the use of AI among students based on their years of education (p > 0.1 for all comparisons), suggesting that the year of study does not significantly affect students' attitudes towards AI.
Conclusion: The study at Punjab Medical College reveals a broadly positive perception of artificial intelligence (AI) among faculty and undergraduate medical students, highlighting a collective readiness to incorporate AI into medical education and practice.
References
1. Zhang C, Lu Y. Study on artificial intelligence: the state of the art and future prospects. J Ind Inf Integr. 2021;23:100224. https://doi.org/10.1016/j.jii.2021.100224
2. Zhao S, Blaabjerg F, Wang H. An overview of artificial intelligence applications for power electronics. IEEE Trans Power Electron. 2020;36(4):4633–58. https://doi.org/10.1109/TPEL.2020.3024914
3. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230–43. https://doi.org/10.1136/svn-2017-000101
4. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(1):125. https://doi.org/10.1186/s12911-021-01488-9
5. 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;13:927–35. https://doi.org/10.2147/AMEP.S368519
6. Paranjape K, Schinkel M, Panday RN, Car J, Nanayakkara P. Introducing artificial intelligence training in medical education. JMIR Med Educ. 2019 ;5(2):e16048. https://doi.org/10.2196/16048
7. Buabbas AJ, Miskin B, Alnaqi AA, Ayed AK, Shehab AA, Syed-Abdul S, et al. Investigating students’ perceptions towards artificial intelligence in medical education. Healthcare (Basel). 2023;11(9):1298. https://doi.org/10.3390/healthcare11091298.
8. 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. 2020;11:14. https://doi.org/10.1186/s13244-019-0830-7.
9. Salih SM. Perceptions of faculty and students about use of artificial intelligence in medical education: a qualitative study. Cureus. 2024 ;16(4):e57605. https://doi.org/10.7759/cureus.57605.
10. Schepman A, Rodway P. Initial validation of the general attitudes towards Artificial Intelligence Scale. Comput Hum Behav Rep. 2020;1:100014. https://doi.org/10.1016/j.chbr.2020.100014.
11. Schepman A, Rodway P. The General Attitudes towards Artificial Intelligence Scale (GAAIS): confirmatory validation and associations with personality, corporate distrust, and general trust. Int J Hum Comput Interact. 2023 ;39(13):2724–41. https://doi.org/10.1080/10447318.2022.2085400.
12. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21:1–23. https://doi.org/10.1186/s12911-021-01488-9.
13. Paranjape K, Schinkel M, Panday RN, Car J, Nanayakkara P. Introducing artificial intelligence training in medical education. JMIR Med Educ. 2019;5(2):16048. https://doi.org/10.2196/16048.
14. 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. BMC Med Educ. 2024;24(1):507. https://doi.org/10.1186/s12909-024-05465-4.
15. 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. 2024;90(3):649–61. https://doi.org/10.1111/bcp.15911.
16. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230–43. https://doi.org/10.1136/svn-2017-000101.
17. Ahmed Z, Bhinder KK, Tariq A, Tahir MJ, Mehmood Q, Tabassum MS, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey. Ann Med Surg (Lond). 2022;76:103493. https://doi.org/10.1016/j.amsu.2022.103493.
18. Abid S, Awan B, Ismail T, Sarwar N, Sarwar G, Tariq M, et al. Artificial intelligence: medical students’ attitude in district Peshawar Pakistan. Pak J Public Health. 2019;9(1):19–21. https://doi.org/10.32413/pjph.v9i1.295.
19. Habib MM, Hoodbhoy Z, Siddiqui MR. Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. PLOS Digit Health. 202; (5):e0000443. https://doi.org/10.1371/journal.pdig.0000443.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Annals of King Edward Medical University
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access journal and all the published articles / items are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For comments publications@kemu.edu.pk