Beyond Accuracy: A Cost-Aware Approach to Skin Lesion Detection Across Skin Tone Imbalances

2024-12-12 health systems and quality improvement Title + abstract only

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Skin lesion prediction using artificial intelligence (AI) models is highly dependent on skin tone, yet current approaches largely overlook this critical factor. The Fitzpatrick 17k dataset, which contains six skin tone categories: lighter to darker, is severely imbalanced, with most models biased toward lighter skin tones. Previous efforts to improve overall accuracy fall short: overall accuracy fails to reflect true performance across imbalances. This creates a significant gap, as effective ski...

Beyond Accuracy: A Cost-Aware Approach to Skin Lesion Detection Across Skin Tone Imbalances

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