Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models.

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Bibliographic Details
Title: Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models.
Authors: Sun JR; The Second Department of Infectious Diseases, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning Province, China.; Department of Hepatology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China., Sun XN; Department of Geriatrics, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China., Lu BJ; Department of Hepatology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China., Deng BC; The Second Department of Infectious Diseases, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning Province, China. sydengbc@163.com.
Source: World journal of gastroenterology [World J Gastroenterol] 2025 Dec 14; Vol. 31 (46), pp. 111176.
Publication Type: Journal Article; Review
Journal Info: Publisher: Baishideng Publishing Group Country of Publication: United States NLM ID: 100883448 Publication Model: Print Cited Medium: Internet ISSN: 2219-2840 (Electronic) Linking ISSN: 10079327 NLM ISO Abbreviation: World J Gastroenterol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2219-2840
DOI:10.3748/wjg.v31.i46.111176