Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models.
Saved in:
| 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 |
| ISSN: | 2219-2840 |
|---|---|
| DOI: | 10.3748/wjg.v31.i46.111176 |