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
- D. W. Schmitz
- F. Ringwald
- U. Eisenmann
- R. Liu
- P. Kienle
- M. Saifi
Institutions
- Heidelberg University (DE)
- Helios Hospital Schwerin (DE)
- Diakonissenkrankenhaus (DE)
- Helios Kliniken (DE)
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