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Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label
0
Zitationen
7
Autoren
2025
Jahr
Abstract
Biased and poorly documented dermatology datasets pose risks to the development of safe and generalizable artificial intelligence (AI) tools. We created a Dataset Nutrition Label (DNL) for multiple dermatology datasets to support transparent and responsible data use. The DNL offers a structured, digestible summary of key attributes, including metadata, limitations, and risks, enabling data users to better assess suitability and proactively address potential sources of bias in datasets.
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