Evaluating the Use of Artificial Intelligence as a Study Tool for Preclinical Medical School Exams

Abstract

BACKGROUND: The purpose of this 2024 study was to determine if there is an association between the usage of artificial intelligence (AI) to study and exam scores of medical students in the preclinical phase of their schooling. METHODS: We created and distributed a survey via an unbiased third-party to students in the class of 2027 at the Kirk Kerkorian School of Medicine at UNLV to evaluate students AI use to study for their preclinical system-based exams. Students were categorized into two groups, those that use AI to study and those who do not. Two-sample t-tests were run to compare the mean exam scores of both groups on six different organ system exams as well as the cumulative final exam score for each group. The group that did use AI was further asked about which AI tools they use and how exactly they use these tools to study for preclinical examinations. RESULTS: The results of the study showed that there is no statistically significant difference in exam scores between students who use AI for study purposes and students who do not. It was also found that most AI users studied with ChatGPT. The most common way users studied was by using AI to simplify and clarify topics they did not understand. CONCLUSIONS: Based on the results of this study, we concluded that usage of AI programs for students for medical examinations did not yield a positive or negative effect on students' organ system-based exam scores.

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