Evaluating ChatGPT-4's Diagnostic Accuracy: Impact of Visual Data Integration.

ABSTRACT:

Background

In the evolving field of health care, multimodal generative artificial intelligence (AI) systems, such as ChatGPT-4 with vision (ChatGPT-4V), represent a significant advancement, as they integrate visual data with text data. This integration has the potential to revolutionize clinical diagnostics by offering more comprehensive analysis capabilities. However, the impact on diagnostic accuracy of using image data to augment ChatGPT-4 remains unclear.

Objective

This study aims to assess the impact of adding image data on ChatGPT-4's diagnostic accuracy and provide insights into how image data integration can enhance the accuracy of multimodal AI in medical diagnostics. Specifically, this study endeavored to compare the diagnostic accuracy between ChatGPT-4V, which pr

SUBMITTER: Hirosawa T 

PROVIDER: S-EPMC11040438 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature