Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs

Fuente: arXiv
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Auteurs principaux: Zhou, Yiliang, Ong, Hanley, Kennedy, Patrick, Wu, Carol, Kazam, Jacob, Hentel, Keith, Flanders, Adam, Shih, George, Peng, Yifan
Format: Preprint
Publié: 2024
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author Zhou, Yiliang
Ong, Hanley
Kennedy, Patrick
Wu, Carol
Kazam, Jacob
Hentel, Keith
Flanders, Adam
Shih, George
Peng, Yifan
author_facet Zhou, Yiliang
Ong, Hanley
Kennedy, Patrick
Wu, Carol
Kazam, Jacob
Hentel, Keith
Flanders, Adam
Shih, George
Peng, Yifan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_15528
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
Zhou, Yiliang
Ong, Hanley
Kennedy, Patrick
Wu, Carol
Kazam, Jacob
Hentel, Keith
Flanders, Adam
Shih, George
Peng, Yifan
Image and Video Processing
Artificial Intelligence
Computer Vision and Pattern Recognition
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.
title Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
topic Image and Video Processing
Artificial Intelligence
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2403.15528