Natural Language Processing in Gastroenterology: Current Applications and Future Directions.
Publication Title
Gastrointestinal endoscopy clinics of North America
Document Type
Article
Publication Date
4-1-2025
Keywords
washington; swedish; artificial intelligence
Abstract
Natural language processing (NLP), a branch of artificial intelligence, has rapidly gained importance in health care for converting unstructured clinical data into structured formats, enhancing decision-making, research, and patient care. Gastroenterology generates vast amounts of clinical data, including clinical notes, pathology reports, and endoscopy findings, much of which remains underutilized due to its unstructured nature. This article explores the key applications of NLP in gastroenterology, such as automating clinical documentation, diagnostic assistance, patient engagement, and research literature analysis. The article also highlights future directions for NLP in gastroenterology, particularly its role in precision medicine and multimodal data integration.
Area of Special Interest
Digestive Health
Specialty/Research Institute
Swedish Digestive Health Institute
Specialty/Research Institute
Gastroenterology
Specialty/Research Institute
Health Information Technology
DOI
10.1016/j.giec.2024.09.005
