Artificial intelligence-assisted approach to assessing bowel wall thickness in pediatric inflammatory bowel disease using intestinal ultrasound images
This study demonstrates an AI approach to automate the analysis of pediatric IBD IUS images, providing a reliable tool for early detection, precise characterization, and monitoring of the disease.
Authors
- K. May
- H Huynh (ORCID: https://orcid.org/0000-0002-7295-7595)
- Lawrence H. Le (ORCID: https://orcid.org/0000-0003-1907-1258)
- Logiraj Kumaralingam (ORCID: https://orcid.org/0009-0009-1489-2816)
- Javaneh Alavi
- Vương Đặng Quốc (ORCID: https://orcid.org/0000-0002-0664-9535)
Institutions
- University of Alberta (CA)
- Alberta Hospital Edmonton (CA)
Publication Details
- Journal
- Journal of Crohn s and Colitis
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1093/ecco-jcc/jjaf037
- Citations
- 13
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 23.62