Transforming liver transplant allocation with artificial intelligence and machine learning: a system...
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review
About this item
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
The principles of urgency, utility, and benefit are fundamental concepts guiding the ethical and practical decision-making process for organ allocation; however, LT allocation still follows an urgency model.
To identify and analyze data elements used in Machine Learning (ML) and Artificial Intelligence (AI) methods, data sources, and their focus...
Alternative Titles
Full title
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_62a205743867450695e73c86241db608
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_62a205743867450695e73c86241db608
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-025-02890-3
