The Rise of Deepfake Medical Imaging: Radiologists’ Diagnostic Accuracy in Detecting ChatGPT-generated Radiographs

Radiology 2026

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Authors: Mickaël Tordjman, Murat Yüce, Amine Ammar, Mingqian Huang, Fadila Mihoubi Bouvier, Maxime Lacroix, Anis Meribout, Ian Bolger, Efe Ozkaya, Himanshu Joshi, Amine Geahchan, Rayane Rahi
+15 more Haidara Almansour, Ashwin Singh Parihar, Carolyn Horst, Samet Öztürk, Muhammed Edip İsleyen, Gül Gizem Pamuk, Tan Cimilli, Timothy Deyer, Arvin Calinghen, Enora Guillo, Rola Husain, Jean-Denis Laredo, Zahi A. Fayad, Xueyan Mei, Bachir Taouli
DOI: 10.1148/radiol.252094
Cited by: 12
References: 21

Abstract

Synthetic radiographs, including OpenAI’s ChatGPT-generated ones, are not easily distinguishable from authentic radiographs by either radiologists or large language models; physician training and dedicated tools are crucial to mitigate risks.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education COVID-19 diagnosis using AI Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Radiology
Publisher
Radiological Society of North America (RSNA)
Volume
318
Issue
3
Pages
e252094–e252094
Publication date
1 March 2026
Language
EN