Effect of ChatGPTon Various Aspects of Undergraduate Medical Education

Background: Artificial intelligence (AI) has emerged as a transformative tool across various domains, including medical education. AI applications, such as ChatGPT, present new opportunities for enhancing student learning, instructional strategies, clinical scenario simulations, and collaborative learning. Objective: This study examines the impact of Artificial Intelligence on various aspects of undergraduate medical education.Materials and Methods: This study employed a quantitative cross-sectional design to assess the impact of AI in medical education. A total of 300 participants, including medical students, educators, and healthcare professionals, were surveyed. The study was conducted over six months (June to December 2023) across multiple medical institutions. Scenario modeling was used to simulate clinical cases, where participants engaged in AI-assisted diagnostic decision-making and learning activities in a controlled academic setting. Ethical approval was obtained from the Institutional Review Board (IRB) of Women Medical & Dental College Abbottabad. Data were collected using a structured questionnaire, which evaluated AI's role in student learning, collaborative education, and instructional methods. Factor analysis and Cronbach's alpha were used to validate the questionnaire's reliability and construct validity.Results: It revealed significant positive impacts, with 80% showed improved learning experiences and 85% acknowledging the benefits of simulated clinical scenarios. Collaborative learning effectiveness was recognized by 70%, mainly among educators who noted adaptability. Reliability measures showed strong internal consistency (Cronbach's alpha values), and factor analysis highlighted key dimensions such as Personalized Learning. Conclusion: This research provides empirical evidence in support of using AI in medical education. The results indicate that AI applications can improve student learning outcomes, enhance teaching, and even assist in the simulation of clinical scenarios. These finding further indicate research directed towards optimising advanced technology in medical education.Keywords: Artificial intelligence (AI), AI in healthcare, Clinical simulations, Collaborative learning, Medical education, Student learning.