Applications of Artificial Intelligence (AI) in Medical Education: A Scoping Review

Author:

Nagi Fatima1,Salih Rawan1,Alzubaidi Mahmood1,Shah Hurmat1,Alam Tanvir1,Shah Zubair1,Househ Mowafa1

Affiliation:

1. College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

Abstract

Artificial Intelligence (AI) is increasingly used to support medical students’ learning journeys, providing personalized experiences and improved outcomes. We conducted a scoping review to explore the current application and classifications of AI in medical education. Following the PRISMA-P guidelines, we searched four databases, ultimately including 22 studies. Our analysis identified four AI methods used in various medical education domains, with the majority of applications found in training labs. The use of AI in medical education has the potential to improve patient outcomes by equipping healthcare professionals with better skills and knowledge. Post-implementation refers to the outcomes of AI-based training, which showed improved practical skills among medical students. This scoping review highlights the need for further research to explore the effectiveness of AI applications in different aspects of medical education.

Publisher

IOS Press

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