Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions.

ABSTRACT:

Background and aims

Artificial intelligence (AI) is increasingly integrated into hepatology, yet the existing evidence is fragmented. This scoping review systematically mapped clinical AI applications across hepatology, summarized validated outcomes, and highlighted implementation challenges and research priorities.

Methods

Following the Arksey-O'Malley and Levac frameworks and reported in accordance with PRISMA-ScR, a systematic search of PubMed, Embase, Scopus, Web of Science, and IEEE Xplore (January 2018-July 2025), complemented by grey-literature screening, identified relevant studies. Two reviewers independently screened and extracted data. From 3214 records, 75 studies met inclusion criteria. (PROSPERO ID: CRD420251159117).

Results

Most studies were retrospecti

SUBMITTER: Eskandar K 

PROVIDER: S-EPMC12702015 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature