Large Language Models and Vision-Language Models in Gastroenterology and Hepatology: A Scoping Review of Clinical Tasks, Enhancement Strategies, and Evaluation Frameworks

This registration describes the protocol for a scoping review mapping empirical research on large language models (LLMs) and vision-language models (VLMs) in gastroenterology and hepatology. The review will search PubMed, Embase, Web of Science and Scopus from January 2023 onward, supplemented by citation chasing, and will include peer-reviewed original empirical studies published in English or Chinese. It asks how the evidence is distributed across digestive subspecialties, clinical tasks and study designs; which enhancement strategies and reference standards are used; how far evaluation reaches along the path from technical performance to patient outcomes; and which safety constructs remain unmeasured. All included studies will be charted at a common Tier-1 level, with a nested Tier-2 deep extraction for studies meeting pre-specified clinical or safety criteria. The protocol is registered before any database search is executed.

Authors

Publication Details

Journal
Open Science Framework
Published
2026-11-03
DOI
https://doi.org/10.17605/osf.io/4zcd7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large Language Models and Vision-Language Models in Gastroenterology and Hepatology: A Scoping Review of Clinical Tasks, Enhancement Strategies, and Evaluation Frameworks

Zifan Feng
Open Science Framework
Artificial Intelligence in Healthcare and Education
article

Large Language Models and Vision-Language Models in Gastroenterology and Hepatology: A Scoping Review of Clinical Tasks, Enhancement Strategies, and Evaluation Frameworks

Zifan Feng
article en

Abstract

This registration describes the protocol for a scoping review mapping empirical research on large language models (LLMs) and vision-language models (VLMs) in gastroenterology and hepatology. The review will search PubMed, Embase, Web of Science and Scopus from January 2023 onward, supplemented by citation chasing, and will include peer-reviewed original empirical studies published in English or Chinese. It asks how the evidence is distributed across digestive subspecialties, clinical tasks and study designs; which enhancement strategies and reference standards are used; how far evaluation reaches along the path from technical performance to patient outcomes; and which safety constructs remain unmeasured. All included studies will be charted at a common Tier-1 level, with a nested Tier-2 deep extraction for studies meeting pre-specified clinical or safety criteria. The protocol is registered before any database search is executed.

Open Science Framework
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon