Investigation of Recognition Areas by Explainable Artificial Intelligence for Colonoscopy Images of Irritable Bowel Syndrome
An XAI for IBS was collaboratively developed by endoscopists and clinical engineers, enabling the visualization of regions characteristic of IBS and healthy individuals. The real-time display of XAI is expected to further advance the elucidation of IBS pathophysiology. .
Authors
- Ichiro Yasuda (ORCID: https://orcid.org/0000-0002-6888-0310)
- Hiroshi Mihara (ORCID: https://orcid.org/0000-0002-8427-2868)
- Haruka Fujinami (ORCID: https://orcid.org/0000-0003-4410-6272)
- Takayuki Ando (ORCID: https://orcid.org/0000-0001-8219-976X)
- Shun Kuraishi
Institutions
- Sapporo Medical University (JP)
- Toyama University Hospital (JP)
- University of Toyama (JP)
Publication Details
- Journal
- Digestion
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1159/000546183
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Toyama