Evaluating the Potential of Large Language Models for Vestibular Rehabilitation Education: A Comparison of ChatGPT, Google Gemini, and Clinicians.

ABSTRACT:

Objective

This study aimed to compare the performance of 2 large language models, ChatGPT (Generative Pre-trained Transformer) and Google Gemini, against experienced physical therapists and students in responding to multiple-choice questions related to vestibular rehabilitation. The study further aimed to assess the accuracy of ChatGPT's responses by board-certified otoneurologists.

Methods

This study was conducted among 30 physical therapist professionals experienced with vestibular rehabilitation and 30 physical therapist students. They were asked to complete a vestibular knowledge test (VKT) consisting of 20 multiple-choice questions that were divided into 3 categories: (1) Clinical Knowledge, (2) Basic Clinical Practice, and (3) Clinical Reasoning. ChatGPT and Google Gem

SUBMITTER: Arbel Y 

PROVIDER: S-EPMC11994992 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature