A Novel Deep Learning Model as a Donor–Recipient Matching Tool to Predict Survival after Liver Transplantation

A Novel Deep Learning Model as a Donor–Recipient Matching Tool to Predict Survival after Liver Transplantation

Background: The “digital era” in the field of medicine is the new “here and now”. Artificial intelligence has entered many fields of medicine and is recently emerging in the field of organ transplantation. Solid organs remain a scarce resource. Being able to predict the outcome after liver transplan...

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Bibliographic Details
Main Authors: Nikolaus Börner, Markus B. Schoenberg, Philipp Pöschke, Christian Heiliger, Sven Jacob, Dominik Koch, Benedikt Pöllmann, Moritz Drefs, Dionysios Koliogiannis, Christian Böhm, Konrad W. Karcz, Jens Werner, Markus Guba
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Clinical Medicine
Subjects:
liver transplantation
machine learning
quality management
data management
Online Access:https://www.mdpi.com/2077-0383/11/21/6422

Internet

https://www.mdpi.com/2077-0383/11/21/6422

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