Efficacy and limitations of ChatGPT as a biostatistical problem-solving tool in medical education in Serbia: a descriptive study

ABSTRACT:

Purpose

This study aimed to assess the performance of ChatGPT (GPT-3.5 and GPT-4) as a study tool in solving biostatistical problems and to identify any potential drawbacks that might arise from using ChatGPT in medical education, particularly in solving practical biostatistical problems.

Methods

ChatGPT was tested to evaluate its ability to solve biostatistical problems from the Handbook of Medical Statistics by Peacock and Peacock in this descriptive study. Tables from the problems were transformed into textual questions. Ten biostatistical problems were randomly chosen and used as text-based input for conversation with ChatGPT (versions 3.5 and 4).

Results

GPT-3.5 solved 5 practical problems in the first attempt, related to categorical data, cross-sectional study,

SUBMITTER: Ignjatovic A 

PROVIDER: S-EPMC10646144 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature