Using machine learning for predicting outcomes in ACLF

Marta Tonon¹, Richard Moreau^{2

3

4}

Affiliations

¹ Unit of Internal Medicine and Hepatology, University Hospital of Padova, Padova, Italy.
² European Foundation for the Study of Chronic Liver Failure (EF CLIF), Barcelona, Spain.
³ INSERM, Université de Paris Cité, Centre de Recherche sur l'Inflammation (CRI), Paris, France.
⁴ Assistance Publique-Hôpitaux de Paris (AP-HP), and Hôpital Beaujon, Service d'Hépatologie, Clichy, France.

Editorial

Marta Tonon et al. Liver Int. 2022 Nov.

. 2022 Nov;42(11):2354-2355.

doi: 10.1111/liv.15399.

Marta Tonon¹, Richard Moreau^{2

3

4}

¹ Unit of Internal Medicine and Hepatology, University Hospital of Padova, Padova, Italy.
² European Foundation for the Study of Chronic Liver Failure (EF CLIF), Barcelona, Spain.
³ INSERM, Université de Paris Cité, Centre de Recherche sur l'Inflammation (CRI), Paris, France.
⁴ Assistance Publique-Hôpitaux de Paris (AP-HP), and Hôpital Beaujon, Service d'Hépatologie, Clichy, France.

No abstract available

Comment on

APASL-ACLF Research Consortium-Artificial Intelligence (AARC-AI) model precisely predicts outcomes in acute-on-chronic liver failure patients.
Verma N, Choudhury A, Singh V, Duseja A, Al-Mahtab M, Devarbhavi H, Eapen CE, Goel A, Ning Q, Duan Z, Hamid S, Jafri W, Butt AS, Shukla A, Tan SS, Kim DJ, Hu J, Sood A, Goel O, Midha V, Ghaznian H, Sahu MK, Lee GH, Treeprasertsuk S, Shah S, Lesmana LA, Lesmana RC, Prasad VGM, Sarin SK; APASL ACLF Research Consortium (AARC) for APASL ACLF Working Party. Verma N, et al. Liver Int. 2023 Feb;43(2):442-451. doi: 10.1111/liv.15361. Epub 2022 Oct 11. Liver Int. 2023. PMID: 35797245

1. Nam D, Chapiro J, Paradis V, Seraphin TP, Kather JN. Artificial intelligence in liver diseases: improving diagnostics, prognostics and response prediction. JHEP Rep. 2022;4(4):100443.
1. Liyanage H, Liaw ST, Jonnagaddala J, et al. Artificial intelligence in primary health care: perceptions, issues, and challenges. Yearb Med Inform. 2019;28(1):41-46.
1. Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731.
1. Kezer CA, Shah VH, Simonetto DA. Advances in predictive modeling using machine learning in the field of hepatology. Clin Liver Dis (Hoboken). 2021;18(6):288-291.
1. Ji GW, Zhu FP, Xu Q, et al. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: a multi-institutional study. EBioMedicine. 2019;50:156-165.