Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool

Introduction: Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) a...

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Asıl Yazarlar:	Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Taylor & Francis Group 2025-12-01
Seri Bilgileri:	Renal Failure
Konular:	Transplant outcomes personalized medicine deceased kidney donor machine learning
Online Erişim:	https://www.tandfonline.com/doi/10.1080/0886022X.2024.2431147
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