Bowel preparation assessment using artificial intelligence: Systematic review
AI-BPS can standardize and outperform human bowel preparation evaluation by better correlating with expert BBPS ratings, AMR, ADR, and PDR. Further research following recommended reporting guidelines is needed to allow for cross-study comparisons and meta-analysis, which was not possible in this study due to heterogonous study design and reporting metrics.
Authors
- Kristoffer Mazanti Cold (ORCID: https://orcid.org/0000-0001-7715-4073)
- Laurence B. Lovat (ORCID: https://orcid.org/0000-0003-4542-3915)
- Omer F. Ahmad (ORCID: https://orcid.org/0000-0001-6498-481X)
- Flemming Bjerrum (ORCID: https://orcid.org/0000-0001-8617-7453)
- Amaan Ali
- Lars Konge
Institutions
- University of Copenhagen (DK)
- Rigshospitalet (DK)
- Copenhagen Academy for Medical Education and Simulation (DK)
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
- Capital Region of Denmark (DK)
- University College London (GB)
Publication Details
- Journal
- Endoscopy International Open
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1055/a-2625-6327
- Citations
- 3
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.14
Funders
- European Commission
- HORIZON EUROPE Framework Programme
- HORIZON EUROPE European Innovation Council