A scoping review of robustness concepts for machine learning in healthcare
Abstract While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to new e...
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Main Authors: | Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-024-01420-1 |
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