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.

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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
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article

Artificial Intelligence to Enhance Ureteral Identification: A New Surgical Frontier.

Kevin A. Chen, Patricia A. Sylla
UNC Libraries
Renal and Vascular Pathologies
article

Artificial Intelligence to Enhance Ureteral Identification: A New Surgical Frontier.

Kevin A. Chen, Patricia A. Sylla
article en

Abstract

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.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 63%
Renal and Vascular Pathologies
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