Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Abstract Background Artificial intelligence (AI) models are increasingly used in the medical domain. However, as medical data is highly sensitive, special precautions to ensure its protection are required. The gold standard for privacy preservation is the introduction of differential privacy (DP) to...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2024-03-01
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| Serie: | Communications Medicine |
| Accesso online: | https://doi.org/10.1038/s43856-024-00462-6 |
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