Assessment of knowledge, attitudes, perceptions, and utilization of artificial intelligence in medical education among medical students in a Nigerian university
DOI:
https://doi.org/10.18203/2320-6012.ijrms20251617Keywords:
Artificial intelligence, Medical education, AI utilization, AI perception, AI attitudes, Medical studentsAbstract
Background: Artificial intelligence (AI) is increasingly being integrated into medical education and healthcare. However, there is limited data on medical students' knowledge, attitudes, perceptions, and utilization of AI in Nigeria. This study aims to assess these factors among medical students at a Nigerian university.
Methods: A descriptive cross-sectional study was conducted among 342 medical students at Abia State University using a multistage sampling technique. Data was collected via a structured, self-administered questionnaire covering socio-demographics, AI knowledge, attitudes, perceptions, and utilization. Statistical analysis was performed using SPSS version 23, with results presented in frequencies, percentages, and inferential statistics such as Chi-square and one-way ANOVA (p≤0.05 considered significant).
Results: AI awareness was high (94.4%), yet only 20.8% had received formal training. The mean knowledge score was 8.16±3.08, with 54.8% demonstrating moderate knowledge. While 92.7% believed AI could improve healthcare, 66.4% opposed the idea that AI would replace doctors. AI was most associated with radiology and surgery. The mean attitude score was 1.44±3.01, and 55.9% had a positive attitude. Gender significantly influenced AI perception (p=0.024), with males showing more positive perceptions. AI utilization was highest among clinical students (p=0.013) and correlated with knowledge levels (p<0.001).
Conclusions: Although awareness of AI is high, formal education on AI remains limited. Most students hold positive attitudes toward AI but express concerns about its impact on medical practice. Structured AI education and faculty engagement are essential for preparing future medical professionals for AI-driven healthcare.
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References
Glover E. What is artificial intelligence? How does AI work? Builtin. 2024. Available at: https://builtin.com/artificial-intelligence. Accessed on 15 February 2025.
University of Memphis Libraries. Research Guides: Artificial Intelligence in Higher Education: What Is AI? Memphis.edu. 2024. Available from: https://libguides.memphis.edu/ai/what_is_ai. Accessed on 20 February 2025.
Wikipedia Contributors. History of artificial intelligence. Wikipedia. Wikimedia Foundation; 2019. Available at: https://en.wikipedia.org/wiki/History_of_artificial_intelligence. Accessed 5 February 2025.
Britannica. Artificial Intelligence | Pros, Cons, Debate, Arguments, Computer Science and Technology. Encyclopedia Britannica. 2024. Available at: https://www.britannica.com/procon/artificial-intelligence-AI-debate. Accessed on 12 February 2025.
Jackson P, Ponath Sukumaran G, Babu C, Tony MC, Jack DS, Reshma VR, et al. Artificial intelligence in medical education-perception among medical students. BMC Med Education. 2024;24(1):804. DOI: https://doi.org/10.1186/s12909-024-05760-0
Dembrower K, Crippa A, Colón E, Eklund M, Strand F. Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study. The Lancet Digital Health. 2023;5(10):e703-11. DOI: https://doi.org/10.1016/S2589-7500(23)00153-X
Bejnordi BE, Veta M, Van Diest PJ, Van Ginneken B, Karssemeijer N, Litjens G, et al. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. JAMA. 2017;318(22):2199-210. DOI: https://doi.org/10.1001/jama.2017.14580
Bodenstedt S, Wagner M, Müller-Stich BP, Weitz J, Speidel S. Artificial intelligence-assisted surgery: potential and challenges. Visceral Med. 2020;36(6):450-5. DOI: https://doi.org/10.1159/000511351
Hekler A, Utikal JS, Enk AH, Hauschild A, Weichenthal M, Maron RC, et al. Superior skin cancer classification by the combination of human and artificial intelligence. European J Cancer. 2019;120:114-21. DOI: https://doi.org/10.1016/j.ejca.2019.07.019
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115-8. DOI: https://doi.org/10.1038/nature21056
Buabbas AJ, Miskin B, Alnaqi AA, Ayed AK, Shehab AA, Syed-Abdul S, et al. Investigating students’ perceptions towards artificial intelligence in medical education. InHealthcare. 2023;11(9):1298. DOI: https://doi.org/10.3390/healthcare11091298
Mohammad B, Supti T, Alzubaidi M, Shah H, Alam T, Shah Z, et al. The pros and cons of using ChatGPT in medical education: a scoping review. Stud Health Technol Inform. 2023;305:644-47. DOI: https://doi.org/10.3233/SHTI230580
Dere AA. Knowledge and Attitude of Medical Students and Doctors towards Artificial Intelligence: A study of University of Ilorin. 2024. DOI: https://doi.org/10.2196/preprints.64883
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. 2022;76:103493. DOI: https://doi.org/10.1016/j.amsu.2022.103493
Doumat G, Daher D, Ghanem NN, Khater B. Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: a national survey study. Front Artificial Intelligence. 2022;5:1015418. DOI: https://doi.org/10.3389/frai.2022.1015418
Digital Education Council. Digital Education Council Global AI Student Survey 2024. Digitaleducationcouncil.com. 2024. Available at: https://www.digitaleducationcouncil.com/post/digital-education-council-global-ai-student-survey-2024. Accessed on 24 February 2025.
Abdulai A, Hung L. Will ChatGPT undermine ethical values in nursing education, research, and practice? Nurs Inq. 2023;30(3):e12556. DOI: https://doi.org/10.1111/nin.12556
Lee P, Bubeck S, Petro J. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine. N Eng J Med. 2023;388(13):1233-9. DOI: https://doi.org/10.1056/NEJMsr2214184
Sallam M. The utility of ChatGPT as an example of large language models in healthcarekar education, research and practice: Systematic review on the future perspectives and potential limitations. MedRxiv. 2023;2023-02. DOI: https://doi.org/10.1101/2023.02.19.23286155
Park CJ, Paul HY, Siegel EL. Medical student perspectives on the impact of artificial intelligence on the practice of medicine. Curr Problems Diagnostic Radiol. 2021;50(5):614-9. DOI: https://doi.org/10.1067/j.cpradiol.2020.06.011
Rahul S, Nawaz MD, Mudgal SM, Doddayya H. Assessment of Awareness, Perception, and Opinions Towards Artificial Intelligence Among Health Care Professionals and Medical Students at Tertiary Care Teaching Hospital: A Cross Sectional Study. Int J Multidisciplinary Res. 2024;6(1):1-9. DOI: https://doi.org/10.36948/ijfmr.2024.v06i01.11678
Fadil H, Alahmadi Y. Evaluation of awareness, perceptions and opinions of artificial intelligence (AI) among healthcare students-A cross-sectional study in Saudi Arabia. Trop J Pharmaceut Res. 2024;23(12):2097-105. DOI: https://doi.org/10.4314/tjpr.v23i12.15
Chan CK, Lee KK. The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments. 2023;10(1):60. DOI: https://doi.org/10.1186/s40561-023-00269-3
Aina MA, Gbenga-Epebinu MA, Olofinbiyi RO, Ogidan OC, Ayedun TO. Perception and acceptance of medical chatbot among undergraduates in Ekiti State University, Nigeria. Brit J Educat. 2023;11(11):1-4. DOI: https://doi.org/10.37745/bje.2013/vol11n11114
Schumacher P, Morahan-Martin J. Gender, Internet and computer attitudes and experiences. Computers Human Behavior. 2001;17(1):95-110. DOI: https://doi.org/10.1016/S0747-5632(00)00032-7
Teng M, Singla R, Yau O, Lamoureux D, Gupta A, Hu Z, et al. Health care students’ perspectives on artificial intelligence: countrywide survey in Canada. JMIR Med Educat. 2022;8(1):e33390. DOI: https://doi.org/10.2196/33390
Swed S, Alibrahim H, Elkalagi NKH, Nasif MN, Rais MA, Nashwan AJ, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: a cross-sectional online survey. Front Artificial Intelligence. 2022;5:1011524. DOI: https://doi.org/10.3389/frai.2022.1011524
Barth S. Artificial Intelligence (AI) in Healthcare & Hospitals. ForeSee Medical. ForeSee Medical; 2023. Available at: https://www.foreseemed.com/artificial-intelligence-in-healthcare. Accessed on 5 February 2025.
Owoyemi A, Owoyemi J, Osiyemi A, Boyd A. Artificial intelligence for healthcare in Africa. Frontiers in Digital Health. 2020; 2:6. DOI: https://doi.org/10.3389/fdgth.2020.00006
Al-Qerem W, Eberhardt J, Jarab A, Al Bawab AQ, Hammad A, Alasmari F, Alazab BA, Husein DA, Alazab J, Al-Beool S. Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan. BMC Medical Informatics and Decision Making. 2023; 23(1):288. DOI: https://doi.org/10.1186/s12911-023-02403-0
Wobo KN, Nnamani IO, Alinnor EA, Gabriel-Job N, Paul N. Medical students’ perception of the use of artificial intelligence in medical education. Int J Res Med Sci. 2025;13(1):82. DOI: https://doi.org/10.18203/2320-6012.ijrms20244099
Digital Education Council. Digital Education Council Global AI Student Survey 2024. Digitaleducationcouncil.com. 2024. Available at: https://www.digitaleducationcouncil.com/post/digital-education-council-global-ai-student-survey-2024. Accessed on 1 March 2025.
Kelly R. Survey: 86% of Students Already Use AI in Their Studies. Campus Technology. 2024. Available at: https://campustechnology.com/Articles/2024/ 08/28/Survey-86-of-Students-Already-Use-AI-in-Their-Studies.aspx. Accessed on 12 February 2025.
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