Use of AI Tools and Academic Performance in Medical Education

Abstract

Background: Artificial Intelligence (AI) tools have rapidly transformed the educational landscape, particularly in medical education where students face extensive academic workloads and complex clinical learning requirements. AI-based platforms such as intelligent tutoring systems, automated question generators, virtual simulations, and language-processing tools are increasingly being utilized to enhance learning efficiency, improve access to educational resources, and support personalized learning experiences. Medical students commonly use AI applications for note preparation, concept clarification, literature searching, examination preparation, and clinical decision-making practice. Despite the growing integration of AI technologies in academic settings, concerns remain regarding overreliance on these tools, reduced critical thinking abilities, and ethical issues related to academic integrity. Therefore, understanding the relationship between AI tool utilization and academic performance among medical students has become increasingly important.

Objective: To evaluate the use of AI tools and their association with academic performance among medical students.

Methodology: A cross-sectional descriptive study was conducted among undergraduate medical students enrolled in different academic years at a medical university. A structured, self-administered questionnaire was distributed to collect data regarding demographic characteristics, frequency and purpose of AI tool usage, commonly used AI applications, perceived benefits, and academic outcomes. Students’ academic performance was assessed using self-reported grade point averages (GPA) and examination scores. Data were analyzed using statistical software. Descriptive statistics, frequencies, percentages, mean scores, and chi-square tests were applied to determine associations between AI tool usage and academic performance. A p-value of <0.05 was considered statistically significant.

Results: A total of 250 medical students participated in the study, with a mean age of 21.4 ± 2.1 years. Among the participants, 62% were female and 38% were male. Approximately 84% of students reported regular use of AI tools for academic purposes. The most commonly used applications included AI chat assistants, online medical learning platforms, and automated quiz generators. About 71% of students believed that AI tools improved their understanding of difficult medical concepts, while 67% reported enhanced examination preparation and time management. Students who frequently utilized AI-based educational resources demonstrated significantly higher academic performance compared to infrequent users (p<0.05). However, nearly 41% of participants expressed concerns regarding dependency on AI tools and reduced independent learning skills.

Conclusion: AI tools are widely utilized among medical students and appear to positively influence academic performance, learning efficiency, and conceptual understanding. Appropriate integration of AI technologies into medical education may enhance student learning outcomes; however, balanced usage and proper academic guidance are necessary to prevent excessive dependency and maintain critical thinking abilities.