Dermatology Times: Artificial intelligence diagnostics fall short in skin of color

Dermatology Times reported research findings from Pushkar Aggarwal, a third-year medical student, in a recent edition. Aggarwal presented a research poster at the 17th Annual Skin of Color Society Scientific Symposium, which showed that a large gap exists in the accuracy with which artificial intelligence distinguishes between melanoma and basal cell carcinoma (BCC) in patients with pigmented skin (or skin of color) versus light-skinned patients.

Artificial intelligence can be a useful tool for dermatologists, significant challenges exist in creating databases and programming that provide equally precise diagnostic results in skin of color compared with lighter-skinned patients.

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