A foundation systematic review of natural language processing applied to gastroenterology & hepatology.

ABSTRACT:

Objective

This review assesses the progress of NLP in gastroenterology to date, grades the robustness of the methodology, exposes the field to a new generation of authors, and highlights opportunities for future research.

Design

Seven scholarly databases (ACM Digital Library, Arxiv, Embase, IEEE Explore, Pubmed, Scopus and Google Scholar) were searched for studies published between 2015 and 2023 that met the inclusion criteria. Studies lacking a description of appropriate validation or NLP methods were excluded, as were studies ufinavailable in English, those focused on non-gastrointestinal diseases and those that were duplicates. Two independent reviewers extracted study information, clinical/algorithm details, and relevant outcome data. Methodological quality and bias risk

SUBMITTER: Stammers M 

PROVIDER: S-EPMC11800601 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature