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Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

Medicine and Health

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

G. A. Tadesse, C. Cintas, et al.

The STAR-ED framework reveals a stark underrepresentation of dark skin tones in medical education materials, potentially leading to diagnostic disparities in skin diseases across racial groups. This innovative research, conducted by a diverse team of authors including Girmaw Abebe Tadesse and Celia Cintas from IBM Research - Africa, utilizes machine learning to quantify these imbalances.

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