OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates
Hits: 377
- Áreas de investigación:
- Sin categoría
- Año:
- 2024
- Tipo de publicación:
- Artículo en conferencia
- Autores:
-
- Rodríguez-Perálvez, Manuel
- Gómez-Orellana, Antonio Manuel
- Guijo-Rubio, David
- Gutiérrez, Pedro Antonio
- Majumdar, Avik
- McCaughan, Geoff
- Taylor, Rhiannon
- Hervás-Martínez, César
- Tsochatzis, Emmanuel
- Volumen:
- 80
- Título del libro:
- Journal of Hepatology
- Mes:
- Junio
- ISSN:
- 1600-0641
- 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.