Keywords
Medical education
AI Tools
Medical Students
How to Cite
Abstract
Background: Artificial Intelligence (AI) is transforming medical education by offering personalized learning
experiences and improving educational outcomes. Initially conceptualized in the mid-20th century, AI's role in
medicine has expanded with advancements in deep learning, enabling its application in both clinical and educational
settings. Despite its growing use, research on AI's impact on medical students' academic performance remains limited.
Objectives: To investigate AI-powered educational platforms impact on medical students’ learning outcomes,
knowledge retention and overall academic performance.
Methods: Ethical approval was obtained from the Institutional Review Board (IRB). A cross-sectional online survey
of MBBS students (years 1-5) was conducted. Data were collected from June 1–30, 2024. The questionnaire included
demographics, AI usage patterns, and Likert‑scale items assessing perceived effects of AI on learning and academic
performance (N = 114 respondents).
Results: Among respondents, 65.8% frequently use Chat-bots like Chat-GPT, 11.4% use language translation tools,
and 20% use other AI applications. Satisfaction with AI tools varied, with 52.6% moderately satisfied and 8.8% highly
satisfied regarding their impact on learning and academic performance. A statistically significant association (p-value
= .021) was found between AI usage and improved academic outcomes. The study reveals that frequent use of AI tools
is linked to significant improvements in managing academic tasks, productivity, assessment accuracy, and creative
thinking.
Conclusion: AI use was associated with improved self‑reported learning outcomes and academic performance among
this sample of medical students. Findings suggest potential benefits of AI‑based learning supports, but limitations
(cross‑sectional design, self‑report measures, single institution) preclude causal inference. Further longitudinal and
objective‑outcome research is recommended.