This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (394) Decision Support for Health Professionals (1594) Clinical Cancer Research (124) New Methods (1154) mHealth in a Clinical Setting (760) AI Language Models in Health Care (224) Gastroenterology and Hepatology (140) Information Retrieval (354)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76252, first published .
Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study

Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study

Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study

Authors of this article:

Chen Pan1 Author Orcid Image ;   Wei Lu1 Author Orcid Image ;   Bingliang Chen1 Author Orcid Image ;   Gang Zhang1 Author Orcid Image ;   Zhiming Yang1 Author Orcid Image ;   Jingcheng Hao1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Wang J, Xue S, Xia H, Cui P, Yang S, Wang X, Liu J, Li D, Dong J. Empowering liver cancer diagnosis and treatment with foundation models: technological innovation and clinical practice. Clinical and Experimental Medicine 2026;26(1) View
  2. Oami T, Okada Y, Nakada T. Automated systematic reviews using machine learning and large language models in clinical practice guideline development: A perspective. Hong Kong Journal of Emergency Medicine 2026;33(1) View