SOURCE-LINKED INTELLIGENCE
Benchmarking Off-the-Shelf Multimodal AI Models Against Dermatologists on Patient-Captured Skin Images
Artificial intelligence (AI) has advanced at a rapid pace in recent years. Initially, breakthroughs in large language models caught widespread attention. However, recent generations of frontier AI models have adopted multimodal capabilities as a first class citizen, with vision capabilities being central to that. In this paper, we evaluate three recently released models on the task of diagnosing dermatological conditions from patient-submitted images. The models chosen are at the low to mid tier in terms of pricing and thus represent a floor on current AI capabilities, not a ceiling. We evalua
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T07:01:25.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.