GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment
<|reference_start|>GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment: OpenAI's large multimodal model, GPT-4V(ision), was recently developed for general image interpretation. However, less is known about its capabilities with medical image interpretation and diagnosis. Board-certified physicians and senior residents assessed GPT-4V's proficiency across a range of medical conditions using imaging modalities such as CT scans, MRIs, ECGs, and clinical photographs. Although GPT-4V is able to identify and explain medical images, its diagnostic accuracy and clinical decision-making abilities are poor, posing risks to patient safety. Despite the potential that large language models may have in enhancing medical education and delivery, the current limitations of GPT-4V in interpreting medical images reinforces the importance of appropriate caution when using it for clinical decision-making.<|reference_end|>
@article{senkaiahliyan2023gpt-4v(ision),
    title={GPT-4V(ision) Unsuitable for Clinical Care and Education: A
  Clinician-Evaluated Assessment},
    author={Senthujan Senkaiahliyan, Augustin Toma, Jun Ma, An-Wen Chan, Andrew
  Ha, Kevin R. An, Hrishikesh Suresh, Barry Rubin, and Bo Wang},
    journal={arXiv preprint arXiv:2403.12046},
    year={2023},
    archivePrefix={arXiv},
    eprint={2403.12046},
    primaryClass={cs.CV}
}