Using artificial intelligence for predicting survival of individual grafts in liver transplantation: A systematic review
The demand for liver transplantation far outstrips the supply of deceased donor organs, and so, listing and allocation decisions aim to maximize utility. Most existing methods for predicting transplant outcomes use basic methods, such as regression modeling, but newer artificial intelligence (AI) te...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Wiley
2020
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