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

Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol Wu, Jacob Kazam +4 more
3/22/2024
eess.IVcs.AIcs.CV

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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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Cite this paper

@article{zhou2024evaluating,
  title  = {Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs},
  author = {Yiliang Zhou and Hanley Ong and Patrick Kennedy and Carol Wu and Jacob Kazam and Keith Hentel and Adam Flanders and George Shih and Yifan Peng},
  year   = {2024},
  eprint = {2403.15528},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.15528v3}
}

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