Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy

This study shows that an artificial, intelligence-based image recognition software can be trained to recognize the endoscopic features of pouchitis with reasonable accuracy. The results, although encouraging, confirm that artificial intelligence (AI) performance in this context remains below human expert level. A larger dataset, human benchmarking and more appropriate endoscopic markers are required to reach clinically relevant performance. Trial registration This trial was registered in the 'ClinicalTrials.gov' database on 26 April 2021 (NCT04864587).

Authors

Institutions

Publication Details

Journal
Techniques in Coloproctology
Published
2026-03-17
DOI
https://doi.org/10.1007/s10151-025-03273-6
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy

D. W. Schmitz, F. Ringwald, U. Eisenmann, R. Liu et al.
Techniques in Coloproctology
Inflammatory Bowel Disease
article

Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy

D. W. Schmitz, F. Ringwald, U. Eisenmann, R. Liu, P. Kienle, M. Saifi
article en

Abstract

This study shows that an artificial, intelligence-based image recognition software can be trained to recognize the endoscopic features of pouchitis with reasonable accuracy. The results, although encouraging, confirm that artificial intelligence (AI) performance in this context remains below human expert level. A larger dataset, human benchmarking and more appropriate endoscopic markers are required to reach clinically relevant performance. Trial registration This trial was registered in the 'ClinicalTrials.gov' database on 26 April 2021 (NCT04864587).

Techniques in ColoproctologyVol. 30(1)
Heidelberg University (DE), Helios Hospital Schwerin (DE), Diakonissenkrankenhaus (DE), Helios Kliniken (DE)
Openalex Percentile: Top 20%
Inflammatory Bowel Disease
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.