Convolutional Neural Networks

From the SOCU Poster Hall | Pigment-Specific Dermoscopy and AI
Infographic from the SOCU Poster Hall on Pigment-Specific Dermoscopy and AI showing melanoma diagnostic disparities: 52% late-stage diagnosis in Black patients vs. 16% in White patients. It highlights that AI accuracy drops from 70% in lighter skin to 17% in Fitzpatrick Type VI and identifies SOC-specific features like eccrine pigmentation.Artificial intelligence (AI) is rapidly changing dermatology, and combining AI with dermoscopy is promising unprecedented diagnostic precision. However, as these technologies advance, a critical question remains: Are they designed to serve all patients equally? Current diagnostic tools often underperform in patients with skin of color due to biases in training data and a lack of standardized i …

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Allison Sit
Infographic from the SOCU Poster Hall on Pigment-Specific Dermoscopy and AI showing melanoma diagnostic disparities: 52% late-stage diagnosis in Black patients vs. 16% in White patients. It highlights that AI accuracy drops from 70% in lighter skin to 17% in Fitzpatrick Type VI and identifies SOC-specific features like eccrine pigmentation.