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 LoupyPublished 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.