Artificial Intelligence in OSCE: Innovations and Implications for Medical Education Assessment – A Systematic Review

Abstract

Objective Structured Clinical Examinations (OSCEs) are cornerstone for evaluation of competencies pertaining to clinical medicine. The recent advent of artificial intelligence has given rise to newer opportunities which evidently have improved the reliability, validity, objectivity of OSCE. This draft deals into the concept of integration of artificial intelligence into OSCE with proper focus on technology technology innovations there in such as provision of real-time feedback and incorporation of virtual simulations as well. As per the PRISMA guidelines, we conducted a literature search and analysed studies available in literature from 2018 till 2024. We have concluded that artificial intelligence as a technological innovation in the world of assessment of clinical competencies. In medical education has a very strong potential to reduce examiner bias, provision of detailed feedback, and simulating realistic clinical scenarios. Still, certain challenges and limitation such as lack of emotional intelligence and the human touch to the entire assessment. Scenario seems to be lagging and is therefore much needed to retain the learning curve of the modern day learners.

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