Spire Healthcare Group
AI deep-learning image reconstruction on MRI scanners
Spire cut some MRI scans from 30 to 15 minutes after adding AI image reconstruction at 21 hospitals
Problem
Patients waited for MRI slots, and long scans limited how many people each scanner could see.
Approach
Spire added AI-enabled MRI technology from Siemens (Deep Resolve), Philips (SmartSpeed) and GE, which use deep-learning models to reduce image noise, sharpen images and speed up scanning. It rolled this out at 21 hospitals in 2025. Radiographers still make the clinical decisions on safety, protocols, positioning and contrast.
Results
Takeaway
Faster reconstruction software on existing scanner lines added capacity without changing who makes clinical decisions.
Categories
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovationProduct and service innovation
- AI technology
- Computer vision
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
Spire's announcement that AI-enabled MRI scanners were in place at 21 hospitals after a 2025 rollout. It gives knee scan times, scans per hour and average patient wait. The figures are Spire's own.
Full details are in the original sources.