March 26, 2024, 4:48 a.m. | Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol Wu, Jacob Kazam, Keith Hentel, Adam Flanders, George Shih, Yifan Peng

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.15528v1 Announce Type: cross
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.

abstract application arxiv cs.ai cs.cv detection diagnostic eess.iv gpt gpt-4 gpt-4v language language model large language large language model modal multi-modal recognition set study type usage vision visual world

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