Machine learning for medical imaging: methodological failures and recommendations for the future

Abstract Research in computer analysis of medical images bears many promises to improve patients’ health. However, a number of systematic challenges are slowing down the progress of the field, from limitations of the data, such as biases, to research incentives, such as optimizing for publication. I...

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Bibliographic Details
Main Authors: Gaël Varoquaux, Veronika Cheplygina
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-022-00592-y