Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
Yiliang Zhou
Hanley Ong
Patrick Kennedy
Carol C Wu
Jacob Kazam
Keith Hentel
Adam Flanders
George Shih
Yifan Peng

Abstract
The study examines the application of GPT-4V, a multi-modal large language model equipped with visual recognition, in detecting radiological findings from a set of 100 chest radiographs and suggests that GPT-4V is currently not ready for real-world diagnostic usage in interpreting chest radiographs.
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