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A Retrospective Analysis of a Dermatology-Trained Multimodal Large Language Model's Diagnostic Accuracy in Pigmented Skin Lesions

2025-10-03

Abstract excerpt

<h4>Background: </h4> Artificial intelligence (AI) has shown significant promise in augmenting di-agnostic capabilities across medical specialties. Recent advancements in generative AI allow for synthesis and interpretation of complex clinical data including imaging and patient history to assess disease risk. <h4>Objective:</h4> To evaluate the diagnostic performance of a dermatology-trained multimodal large langu...

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Literature Corpus work
a22f6a4d-84a6-5156-a280-5f21a47183ec
DOI
10.20944/preprints202510.0288.v1
Open publication

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A Retrospective Analysis of a Dermatology-Trained Multimodal Large Language Model's Diagnostic Accuracy in Pigmented Skin LesionsDOI 10.20944/preprints202510.0288.v1
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