South KoreaHealthcare and life sciences2025 – ongoingChungnam National University Hospital
AIR Recon DL image reconstruction in MRI examinations
Chungnam National University Hospital introduced AI-equipped MRI equipment described as capable of shortening examinations by about 30%
Problem
The hospital sought clearer MRI images and shorter examinations for patients.
Approach
The hospital put a SIGNA Premier 3.0T scanner into operation. Its AIR Recon DL software used deep learning to correct MRI images. The equipment also included flexible coils for patient positioning.
Results
Takeaway
The stated time reduction applied to the new scanner as a whole. The hospital did not isolate the AI software's contribution or disclose a measured comparison.
Categories
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
Chungnam National University Hospital began operating a scanner equipped with AIR Recon DL. Examinations could be about 30% shorter than with previous equipment; no measured comparison was disclosed.
Full details are in the original sources.