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AI Decision Support for Challenging Teledermatology Cases: MedGemma Performance in the Dermatology ECHO Program

2026-05-26

Abstract excerpt

Teledermatology expands access to dermatologic expertise in rural settings, yet diagnostic uncertainty persists in low-resource primary care. This retrospective study evaluated MedGemma-4B-IT, a compact multimodal vision-language model, as adjunctive clinical decision support for challenging diagnostic cases. We analyzed 77 zero-concordance cases (360 clinical photographs) from a Dermatology Extension for Communit...

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Literature Corpus work
775a5b02-d40c-55c1-b381-6a3871fd9e5b
DOI
10.64898/2026.05.21.26353523
Open publication

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