Enhancing Medical Education through LLM: Integration of Generative GPT for Assessment and Feedback

Suraj K Sebastian; Rekha Chakravarthi; Jayadevan Sreedharan; Liju Mathew; Nermine Nosseir; Suni Ebby; Sivapriya Ramakrishnan

doi:10.1007/s40670-024-02258-8

Enhancing Medical Education through LLM: Integration of Generative GPT for Assessment and Feedback

Med Sci Educ. 2024 Dec 27;35(1):29-31. doi: 10.1007/s40670-024-02258-8. eCollection 2025 Feb.

Authors

Suraj K Sebastian¹, Rekha Chakravarthi², Jayadevan Sreedharan^{3

4}, Liju Mathew³, Nermine Nosseir³, Suni Ebby⁵, Sivapriya Ramakrishnan⁶

Affiliations

¹ General Education Department, Gulf Medical University, Ajman, United Arab Emirates.
² Department of Science and Humanities, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.
³ Department of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.
⁴ College of Medicine & Thumbay Institute of Population Health, Gulf Medical University, Ajman, United Arab Emirates.
⁵ Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
⁶ Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.

PMID: 40144113
PMCID: PMC11933602 (available on 2026-02-01)
DOI: 10.1007/s40670-024-02258-8

Abstract

This study developed a custom GPT-3.5 model to grade anatomy assignments for first-year physiotherapy students, compared with a subject matter expert. Findings show AI grading reduces workload while maintaining consistency and quality, demonstrating its potential to enhance efficiency and personalization in medical education.

Keywords: Assessment; ChatGPT; Feedback; LLM’s; Medical Education.

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