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Direct-to-Consumer Machine Learning Model Incorrectly Classifies Rare, Aggressive Skin Cancers

Medical News

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A new study has found that a direct-to-consumer machine learning model for detecting skin cancers incorrectly classified rare and aggressive cancers as low-risk. The breakthrough findings presented at today's 30th EADV Congress suggest that making apps based on such models available directly to the public without transparency on performance metrics for rare but potentially life-threatening skin cancers is ethically questionable.

Researchers in London focused on two types of skin cancer, Merkel cell carcinoma (MCC) and amelanotic melanoma, both of which are rare but particularly aggressive cancers that tend to grow fast and require early ...