South KoreaHealthcare and life sciences2025 – ongoingHallym University Dongtan Sacred Heart Hospital
AI recognition of Calot's triangle during gallbladder surgery
Dongtan Sacred Heart Hospital used surgical guidance AI with reported evaluation accuracy of 86%
Problem
Surgeons could find it difficult to distinguish Calot's triangle during gallbladder removal. Mistakes could injure the bile duct and cause serious complications.
Approach
A hospital research team developed image-recognition AI that marked anatomical boundaries in real time using indocyanine-green fluorescence images. The hospital began applying the model in actual surgery in March 2025. It reported shorter procedures and hospital stays without quantifying those changes.
Results
Takeaway
The disclosed accuracy measured model performance. It did not measure a reduction in surgical injuries.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
The hospital reported using its anatomical-recognition model in surgery since March 2025. The report gave an average evaluation accuracy of 86% and described unquantified improvements in procedure duration and hospital stays.
Full details are in the original sources.