Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
Fuente:
arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917665065402368 |
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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 |