Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study”

Wang, Jinge; Hu, Gangqing

doi:10.1016/j.jaad.2024.06.098

Journal of the American Academy of Dermatology

2024

DOI: 10.1016/j.jaad.2024.06.098

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Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study”

Jinge Wang,

Gangqing Hu

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Adapting ChatGPT for Color Blindness in Medical Education

Wang,

Yu,

Kolodney

et al. 2024

Ann Biomed Eng

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Color vision deficiency (CVD) affects a significant portion of the population, yet its impact is often overlooked in medical education, especially in visually demanding specialties like dermatology, pathology, and radiology. In this study, we investigated the potential of ChatGPT to comprehend CVD-simulated images in image-based diagnostic tasks. Notably, the model successfully adapted its diagnostic reasoning to match CVD-modified color perception while preserving high prediction accuracy. These findings highlight the potential of using ChatGPT to foster more inclusive learning environments for individuals with CVD in visually intensive medical specialties.

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Adapting ChatGPT for Color Blindness in Medical Education

Wang,

Yu,

Kolodney

et al. 2024

Ann Biomed Eng

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show abstract

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Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study”

Cited by 1 publication

References 3 publications

Adapting ChatGPT for Color Blindness in Medical Education

Adapting ChatGPT for Color Blindness in Medical Education

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