Hull University Teaching Hospitals NHS Trust
Deep-learning MRI reconstruction
Hull hospitals reported routine head MRI scans falling from 30 to 20 minutes
Problem
Long MRI examinations limited appointment capacity and made scans difficult for patients who struggled to tolerate the scanner.
Approach
The trust installed and upgraded AIR Recon Deep Learning software on existing MRI machines at Hull Royal and Castle Hill hospitals. The software reduced image noise, allowing shorter scans while maintaining or improving image quality.
Results
Takeaway
The hospitals increased scanning capacity by upgrading reconstruction software on existing machines.
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
- Company's own claim
Sources
Source summaries
The trust reported shorter MRI examinations after installing deep-learning reconstruction software. Routine head scans took 20 minutes rather than 30, and daily lumbar-spine capacity rose from 21 to 31 patients.
Full details are in the original sources.