Evaluation of dermatological conditions: the diagnostic potential of artificial intelligence in primary care-Reference-Cited by-同舟云学术

Evaluation of dermatological conditions: the diagnostic potential of artificial intelligence in primary care

Published:2023-12-01 Issue: Volume: Page:
ISSN:0307-6938
Container-title:Clinical and Experimental Dermatology
language:en
Short-container-title:

Author:

Ahuja Kripa¹^ORCID,DeSena Grace²,Lio Peter³

Affiliation:

1. Eastern Virginia Medical School , Norfolk, VA , USA

2. University of Florida College of Medicine , Gainesville, FL , USA

3. Northwestern University, Department of Dermatology , Chicago, IL , USA

Abstract

We used publicly available images to determine ChatGPT’s diagnostic accuracy and potential to aid in primary care diagnostics of dermatological conditions. We found a lower diagnostic accuracy with publicly available images than with patient images, demonstrating that digital transparency and image retrieval play no role in ChatGPT’s diagnostic accuracy.

Publisher

Oxford University Press (OUP)

Subject

Dermatology

Link

https://academic.oup.com/ced/advance-article-pdf/doi/10.1093/ced/llad423/56349855/llad423.pdf

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1. Widening the scope of artificial intelligence applications in dermatology;Clinical and Experimental Dermatology;2024-05-10

2. Does internal validity play a factor in ChatGPT’s success?;Clinical and Experimental Dermatology;2024-03-18