New Dermatology App Wasn’t Designed for Those With Dark Skin

". ..According to slides Google shared with Motherboard—from a presentation given after the publication of that paper—its deep learning system was 87.9 percent accurate at identifying skin conditions for Black patients, the highest of any ethnicity. Accuracy for Black patients also showed among the best improvement between specialists diagnosing on their own and specialists working with Google’s tool, according to the slides.  But those analyses were done using ethnicity, not Fitzpatrick skin types that correspond to how dark a person’s skin is. And the JAMA study authors noted that their work contained important limitations, namely that Fitzpatrick skin type V (brown) was underrepresented in the data and type VI (dark brown or black) was completely absent from the dataset. As a result, the accuracy rates Google included in its slides would have excluded those for darker-skinned patients, regardless of their ethnicity." (Vice, 20 May 2021)