Unlocking AI's Potential In Medical Education: Perspectives From A Cross-Sectional Study At CMH Lahore

Abstract

Introduction: AI involves computational systems to emulate intelligent behavior with minimal human intervention. Integrating AI into medical education is pivotal at this juncture. This study examines medical faculty perspectives on AI incorporation, focusing on their perceptions of AI's role in medical training and their understanding of fundamental AI concepts.

Methodology: A quantitative exploratory approach was adopted from March to April 2023 involving forty medical faculty members from CMH LMC & IOD, teaching undergraduate and postgraduate students. The questionnaire, distributed via Google Forms, had a reliability of 0.729. Data were analyzed using IBM SPSS Version 26, employing descriptive statistical methods like frequencies, mean, standard deviation, percentages, and correlation.

Results: Forty medical educators were questioned about AI. 67% AI would increase the effectiveness of healthcare. It's interesting to note that although 65% of educators said they knew enough about AI, 43.9% said they wouldn't be ready for AI in the future, and 61% said they would like to learn more. The survey found that while most people had a favorable opinion of AI, there were some reservations and a need for more research.

Conclusion: This study in Lahore, explored medical educators' views on AI in healthcare. Educators showed optimism about AI's potential to enhance efficiency and support doctors. However, legal and ethical concerns surfaced, and educators were divided on their current AI knowledge. There was a notable demand for additional AI education.