Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model

The satisfactory performance of the proposed score within the study population suggests a significant potential to support liver allocation in cDCD-NRP grafts. External validation is challenging, but this methodology may be explored in other regions.

Authors

Institutions

Publication Details

Journal
Transplantation
Published
2025-01-09
DOI
https://doi.org/10.1097/tp.0000000000005312
Citations
3
Primary Topic
Organ Transplantation Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
6.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model

Juan Carlos Rodríguez-Sanjuán, Luis Miguel Marín Gómez, Rafael Calleja, Javier Nuño et al.
3 citations
Transplantation
Organ Transplantation Techniques and Outcomes
6.02
article

Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model

Juan Carlos Rodríguez-Sanjuán, Luis Miguel Marín Gómez, Rafael Calleja, Javier Nuño, Fernando Rotellar, Amelia J. Hessheimer, Jesús Villar, Constantino Fondevila, Manuel Cecilio Jiménez-Garrido, Evaristo Varó, Beatriz Domínguez‐Gil, Antonio M. Gómez-Orellana, Rubén Ciria, G. Rodriguez‐Laiz, David Guijo-Rubio, Mikel Gastaca, Elisabeth Coll, Carmelo Loinaz, R. Charco, Laura Lladó, Andrea Boscà-Robledo, Pedro Antonio Gutiérrez, Ayaya Alonso, Gerardo Blanco‐Fernández, Manuel Durán, José Ángel López‐Baena, Marcos Rivera, Julio Santoyo Santoyo, Alejandra Otero, Yiliam Fundora, César Hervás‐Martínez, David Pacheco, Javier Briceño, Gloria de la Rosa, María Dolores Ayllón, Pablo Ramı́rez
article en
3 citations

Abstract

The satisfactory performance of the proposed score within the study population suggests a significant potential to support liver allocation in cDCD-NRP grafts. External validation is challenging, but this methodology may be explored in other regions.

TransplantationVol. 109(7)
University of the Basque Country (ES), Organización Nacional de Trasplantes (ES), BioCruces Health research Institute (ES), Marqués de Valdecilla University Hospital (ES), Hospital Universitario 12 De Octubre (ES), Hospital de Cruces (ES), Hospital Universitario Virgen del Rocío (ES), Hospital Universitario Ramón y Cajal (ES)
Fundación Mutua Madrileña
Openalex Percentile: Top 5%
Organ Transplantation Techniques and Outcomes
6.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.