OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates

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Research areas:
  • Uncategorized
Year:
2024
Type of Publication:
In Proceedings
Authors:
Volume:
80
Book title:
Journal of Hepatology
Pages:
S23
Month:
Junio
ISSN:
1600-0641
BibTex:
Note:
(JCR: 26.8)
Abstract:
Current prioritization models for liver transplantation (LT) are hampered by their linear nature, which does not fully capture the severity of patients with extreme analytical values. We aimed to develop and externally validate the Gender- Equity Model for Liver Allocation built on Artificial Intelligence (GEMA-AI) to predict waiting list outcomes in candidates for LT.
Comments:
(JCR: 26.8)
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