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September 23, 2025Open Access

Diagnostic accuracy and consistency of ChatGPT-4o in radiology: influence of image, clinical data, and answer options on performance

Key Points

ChatGPT-4o demonstrated varied diagnostic accuracy influenced by different input combinations.
Consistent performance was observed across multiple trials, with notable differences linked to clinical data.
The assessment compared ChatGPT-4o against human radiologists, highlighting performance disparities.
Results indicate the importance of combining image, clinical data, and answer options for optimal accuracy.

Abstract

This study aimed to evaluate the diagnostic accuracy of Chat Generative Pre-trained Transformer (ChatGPT) version 4 Omni (ChatGPT-4o) in radiology across seven information input combinations (image, clinical data, and multiple-choice options) to assess the consistency of its outputs across repeated trials and to compare its performance with that of human radiologists.

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Cite this study

Atakır et al. (Mon,) studied this question.

www.synapsesocial.com/papers/68d4724731b076d99fa6a9ca — DOI: https://doi.org/10.4274/dir.2025.253460

Authors

Kadir Atakır

Kaan Işın

Abdullah Taş

Journals

Diagnostic and Interventional Radiology

Actions

Institutions

University of Health Sciences Antigua

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Diagnostic accuracy and consistency of ChatGPT-4o in radiology: influence of image, clinical data, and answer options on performance

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion