Artificial Intelligence Model for Automated Identification of Bowel Preparation for Colonoscopy (AI‐PREPOO): A Multicenter Study
We developed AI-based models capable of accurately assessing bowel preparation adequacy. AI-PREPOO 1 showed a well-balanced diagnostic performance, suggesting its potential to facilitate bowel preparation assessment and reduce the burden on healthcare providers and patients.
Authors
- Ken‐ichi Mizuno (ORCID: https://orcid.org/0000-0001-8115-7808)
- H. Sato
- Nao Nakajima (ORCID: https://orcid.org/0000-0002-0111-6537)
- Kosuke Kojima
- Shuji Terai
- Hiroki Maruyama
- Kazuya Takahashi
Institutions
- Niigata Prefectural Shibata Hospital (JP)
- Niigata Prefectural Central Hospital (JP)
- Niigata University (JP)
Publication Details
- Journal
- Journal of Gastroenterology and Hepatology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.1111/jgh.70235
- Citations
- 1
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 24.20
Funders
- Japanese Foundation for Research and Promotion of Endoscopy