Article: Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons.
2023 Volume 10, Page(s) 1048451
Abstract: Background: The complex process of liver graft assessment is one point for improvement in liver transplantation. The main objective of this study is to develop a tool that supports the surgeon who is responsible for liver donation in the decision-making ...
Abstract | Background: The complex process of liver graft assessment is one point for improvement in liver transplantation. The main objective of this study is to develop a tool that supports the surgeon who is responsible for liver donation in the decision-making process whether to accept a graft or not using the initial variables available to it. Material and method: Liver graft samples candidate for liver transplantation after donor brain death were studied. All of them were evaluated " Results: A total of 350 liver grafts that were evaluated for liver transplantation were studied. Steatosis was the most frequent reason for classifying grafts as no transplantable, and the main risk factors identified in the univariant study were age, dyslipidemia, personal medical history, personal surgical history, bilirubinemia, and the result of previous liver ultrasound ( Conclusion: The tool presented in this study obtains a high accuracy in predicting whether a liver graft will be transplanted or deemed non-transplantable based on the initial variables assigned to it. The inherent capacity for improvement in the system causes the rate of correct predictions to increase as new data are entered. Therefore, we believe it is a tool that can help optimize the graft pool for liver transplantation. |
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Language | English |
Publishing date | 2023-09-22 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2773823-1 |
ISSN | 2296-875X |
ISSN | 2296-875X |
DOI | 10.3389/fsurg.2023.1048451 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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