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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Detalles Bibliográficos
Autores principales: Börner, Nikolaus, Schoenberg, Markus B., Pöschke, Philipp, Heiliger, Christian, Jacob, Sven, Koch, Dominik, Pöllmann, Benedikt, Drefs, Moritz, Koliogiannis, Dionysios, Böhm, Christian, Karcz, Konrad W., Werner, Jens, Guba, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655123/
https://www.ncbi.nlm.nih.gov/pubmed/36362649
http://dx.doi.org/10.3390/jcm11216422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655123/
https://www.ncbi.nlm.nih.gov/pubmed/36362649
http://dx.doi.org/10.3390/jcm11216422

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