Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
This study assessed the reliability of AI-assisted bowel cleansing scoring in colon capsule endoscopy using the CC-CLEAR scale. While interobserver agreement was excellent with manual scoring among experienced readers, AI-assisted reads did not improve agreement but showed reduced consistency, particularly among less experienced users. The mean AI-assisted scores were significantly lower than manual scores, highlighting potential interpretive challenges. These findings suggest that AI’s effectiveness currently depends on user expertise, reinforcing the importance of further development and refinement required for a robust AI implementation in CCE.
Authors
- Ramesh Pulendran Arasaradnam (ORCID: https://orcid.org/0000-0002-2231-3062)
- Daniel R. Gaya (ORCID: https://orcid.org/0000-0003-1942-7568)
- Ursula Valentiner (ORCID: https://orcid.org/0000-0001-7382-1844)
- Santi Seguí (ORCID: https://orcid.org/0000-0002-8603-138X)
- Pablo Laiz (ORCID: https://orcid.org/0000-0002-6035-8341)
- Hagen Wenzek (ORCID: https://orcid.org/0000-0002-5395-4567)
- Benedicte Schelde‐Olesen (ORCID: https://orcid.org/0000-0001-7643-2350)
- Nicholas Parsons (ORCID: https://orcid.org/0000-0002-1010-1871)
- Cristiana Huhulea
- Alice Mapiye
- Elizabeth White
- Chander Shekhar
- Ian Io Lei
- Pere Gilabert Roca
- Bei Bei Lui
- Anastasios Koulaouzidis
- Alexander Robertson
- Anirudh Bhandare
Publication Details
- Journal
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
- Published
- 2025-08-29
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00