Artificial Intelligence to Enhance Ureteral Identification: A New Surgical Frontier.
The New Technology Report by Narihiro et al1 is of great interest and describes the development of a real-time ureteral identification machine learning model to assist laparoscopic colorectal resection. This is the first article published in Diseases of the Colon & Rectum that describes how a deep learning model was developed for anatomic landmark identification specifically during routine laparoscopic colorectal resections.
Authors
- Kevin A. Chen (ORCID: https://orcid.org/0000-0003-1610-5889)
- Patricia A. Sylla (ORCID: https://orcid.org/0000-0001-9737-994X)
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2025-07-04
- DOI
- https://doi.org/10.17615/8ttq-ns18
- Primary Topic
- Renal and Vascular Pathologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00