Back to search

Article

Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future Directions

2026-08-18

Abstract excerpt

<h4>Background: </h4> and Objectives: Bile duct injury remains a major safety concern during laparoscopic cholecystectomy, and reliable interpretation of hepatocystic anatomy is fundamental to safe dissection. Artificial intelligence (AI)-based computer vision may support anatomical recognition, critical-view-of-safety (CVS) assessment, and intraoperative decision support. This narrative review synthesized the cur...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8cfe91d6-2ea2-598a-b9e0-f1effb8a53da
DOI
10.20944/preprints202608.1241.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future DirectionsDOI 10.20944/preprints202608.1241.v1
Select a neighboring publication to make it the new centre.