An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study
| dc.contributor.author | Winston Dunn | |
| dc.contributor.author | Yanming Li | |
| dc.contributor.author | Ashwani K. Singal | |
| dc.contributor.author | Douglas A. Simonetto | |
| dc.contributor.author | Luis Antonio Díaz | |
| dc.contributor.author | Francisco Idalsoaga | |
| dc.contributor.author | Gustavo Ayares | |
| dc.contributor.author | Jorge Arnold | |
| dc.contributor.author | María Ayala-Valverde | |
| dc.contributor.author | Diego Pérez | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T14:20:00Z | |
| dc.date.available | 2026-03-22T14:20:00Z | |
| dc.date.issued | 2024 | |
| dc.description | Citaciones: 13 | |
| dc.description.abstract | Harnessing artificial intelligence within a global consortium, we pioneered a scoring system excelling over traditional models for 30 and 90-day AH mortality predictions. Beneficial for clinical trials, steroid therapy, and transplant indications, it's accessible at: https://aihepatology.shinyapps.io/ALCHAIN/ . | |
| dc.identifier.doi | 10.1097/hep.0000000000000883 | |
| dc.identifier.uri | https://doi.org/10.1097/hep.0000000000000883 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/45900 | |
| dc.language.iso | en | |
| dc.publisher | Lippincott Williams & Wilkins | |
| dc.relation.ispartof | Hepatology | |
| dc.source | University of Kansas Medical Center | |
| dc.subject | Medicine | |
| dc.subject | Cohort | |
| dc.subject | Machine learning | |
| dc.subject | Retrospective cohort study | |
| dc.subject | Mortality rate | |
| dc.subject | Cohort study | |
| dc.subject | Alcoholic hepatitis | |
| dc.subject | Artificial intelligence | |
| dc.subject | Internal medicine | |
| dc.subject | Demography | |
| dc.title | An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study | |
| dc.type | article |