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A Global Atlas of Digital Dermatology to Map Innovation and Disparities

2026-01-23

Abstract excerpt

<title>Abstract</title> <p>The adoption of artificial intelligence in dermatology promises democratized access to healthcare, but model reliability depends on the quality and comprehensiveness of the data fueling these models. Despite rapid growth in publicly available dermatology images, the field lacks quantitative key performance indicators to measure whether new datasets expand clinical coverage or merely rep...

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Literature Corpus work
56e9f5d2-a44d-5be3-a030-1e53e23202c9
DOI
10.21203/rs.3.rs-8530334/v1
Open publication

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A Global Atlas of Digital Dermatology to Map Innovation and DisparitiesDOI 10.21203/rs.3.rs-8530334/v1
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