Research project

NLP in Gastroenterology

Status:

Active

Project overview

What began as some local service evaluations has evolved into an ambitious project to apply natural language processing to Gastroenterology primarily via the IC-IBD study.

Research outputs

Identification of cohorts with inflammatory bowel disease amidst fragmented clinical databases via machine learning

Matthew Stammers, Stephanie Sartain, J.R. Fraser Cummings, Christopher Kipps, Reza Nouraei, Markus Gwiggner, Cheryl Metcalf & James Batchelor, 2025, Digestive Diseases and Sciences, 70(10), 3309-3322

DOI: 10.1007/s10620-025-09323-1

Type: article

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

Matthew Stammers, Balasubramanian Ramgopal, Abigail Owusu Nimako, James Batchelor, Anand Vyas, Reza Nouraei, Cheryl Metcalf, James Bachelor, Jonathan Shepherd & Markus Gwiggner, 2025, BMC Gastroenterology, 25(1)

DOI: 10.1186/s12876-025-03608-5

Type: article

P319 natural language processing and named entity recognition in inflammatory bowel disease referrals

2022, Gut, 71, A194-A195

DOI: 10.1136/gutjnl-2022-BSG.370

Type: conference

Impact of direct-access IBD physician delivered endoscopy on clinical outcomes: a pre-implementation and post-implementation study

2022, Frontline Gastroenterology, 13

DOI: 10.1136/flgastro-2021-102047

Type: article

PTH-36 identification & service evaluation of a primary sclerosing cholangitis cohort using natural language processing

2021, Gut, 70, A188-A189

DOI: 10.1136/gutjnl-2021-BSG.351

Type: conference