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SRC-5e2ce49a71685ced · Source record

Diagnostic Accuracy of Artificial Intelligence Applications on a Diverse Skin Image Set

Cureus / authors · 3 connected claims

D01 · Marketing, Brand & Revenue SystemsD07 · Commerce, Productization & MarketplacesD15 · Experience Design, Interfaces & SpatialD17 · Distribution, Discovery & AudienceD19 · Measurement, Experimentation & Economics

Canonical route

https://pmc.ncbi.nlm.nih.gov/articles/PMC12936399/

Claims connected to this source

  1. MWITA-BT-2026-033A 2026 benchmark tested ChatGPT and three consumer skin applications on 102 images, balanced across benign/malignant status and Fitzpatrick I–II, III–IV and V–VI groups.Evidence A
  2. MWITA-BT-2026-034Across the four applications, average exact diagnostic accuracy was 22.1%, average cancer sensitivity 46.6% and average specificity 72.1% on the benchmark.Evidence A
  3. MWITA-BT-2026-035The benchmark authors concluded that none of the four tested applications met standards for a stand-alone smartphone diagnostic tool.Evidence A

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