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

Gillian DivardMarc RaynaudVasishta S TatapudiBasmah AbdallaElodie BaillyMaureen AssayagYannick BinoisRaphael CohenHuanxi ZhangCamillo UlloaKamila LinharesHelio S TedescoChristophe LegendreXavier JouvenRobert A MontgomeryCarmen LefaucheurOlivier AubertAlexandre Loupy
Published in: Communications medicine (2022)
This study shows the overall limited performance and consistency of physicians to predict the risk of long-term graft failure, demonstrated by the superior performances of the iBox. This study supports the use of a companion tool to help physicians in their prognostic judgement and decision-making in clinical care.
Keyphrases
  • artificial intelligence
  • primary care
  • healthcare
  • endothelial cells
  • deep learning
  • palliative care
  • big data
  • induced pluripotent stem cells