Comparison of artificial intelligence and human-based prediction and stratification of the risk of long-term kidney allograft failure

Comparison of artificial intelligence and human-based prediction and stratification of the risk of long-term kidney allograft failure

Divard, Raynaud et al. compare artificial intelligence (AI)-based predictions of kidney allograft failure based on electronic health records with those made by transplant physicians of varying levels of experience. The ability of physicians to predict allograft failure is limited, with superior perf...

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Bibliographic Details
Main Authors: Gillian Divard, Marc Raynaud, Vasishta S. Tatapudi, Basmah Abdalla, Elodie Bailly, Maureen Assayag, Yannick Binois, Raphael Cohen, Huanxi Zhang, Camillo Ulloa, Kamila Linhares, Helio S. Tedesco, Christophe Legendre, Xavier Jouven, Robert A. Montgomery, Carmen Lefaucheur, Olivier Aubert, Alexandre Loupy
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-022-00201-9

Internet

https://doi.org/10.1038/s43856-022-00201-9

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