South KoreaHealthcare and life sciences2026 – ongoingEunpyeong St. Mary's Hospital
Lunit INSIGHT mammography scoring and reading prioritization
Eunpyeong St. Mary's Hospital used AI scores to prioritize suspicious mammograms
Problem
Reading screening examinations in appointment order could delay review of patients with suspicious findings. Radiologists needed a way to identify those examinations earlier.
Approach
The hospital deployed Lunit INSIGHT to mark suspicious regions and display mammography risk scores. Radiologists checked the scores to prioritize examinations. A hospital radiologist said patients with high scores could receive earlier follow-up instructions.
Results
No published figures
Takeaway
AI scores changed the reading queue while radiologists retained responsibility for interpretation. The hospital did not disclose a measured reduction in recall time.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Vendor solution
- Evidence
- Press reporting
Sources
Source summaries
MedicalTimes observed AI-marked mammograms in the hospital's reading room. A radiologist explained how risk scores guided reading order and earlier patient recall, without quantifying the time saved.
Full details are in the original sources.