Communications Medicine (Nov 2022)

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

  • 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

DOI
https://doi.org/10.1038/s43856-022-00201-9
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 9

Abstract

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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 performance seen for the AI system.