Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis.

ABSTRACT:

Introduction

Artificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, their performance in dental diagnostics remains underexplored; additionally, the potential of emerging platforms, like Manus, is yet to be evaluated.

Objective

To compare the diagnostic accuracy and consistency of the ChatGPT, Claude, and Manus-using authentic, case-based dental scenarios.

Methods

A set of 117 multiple-choice questions based on validated clinical dental vignettes spanning various specialities was administered to each model under standardised conditions at two separate time points. Responses were scored against expert-v

SUBMITTER: Madfa AA 

PROVIDER: S-EPMC12823890 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature