AI is helping hospitals in England cut MRI scan times

Hospitals in Hull, England are using artificial intelligence to slash MRI scan times, and the results aren’t theoretical. They’re happening right now, every day.

According to Hull University Teaching Hospitals NHS Trust, here’s what they’ve achieved:

These performance gains are a real day-to-day reality at Hull Royal Infirmary and Castle Hill Hospital.

What this means for patients

Karen Bunker, Head of Imaging at Hull University Teaching Hospitals NHS Trust, captured the human impact:

“People who struggle with claustrophobia, or those with Learning Disabilities, who previously couldn’t tolerate a scan, are finding they are able to endure the shorter scan times.”

And the benefits go deeper:

• Some patients can now complete scans without general anesthetic
• Fewer complications and risks
• Less strain on hospital resources
• Money saved can be reinvested in patient care

For children especially, shorter scans mean many no longer need sedation, sparing them risk and freeing up staff and equipment.

How does the AI actually work?

The hospitals added GE Healthcare’s AIR Recon DL software to their existing MRI machines.

The software essentially acts as a super-smart noise filter that works in real-time. Instead of cleaning up images after a scan, the software improves image quality while the scan is happening. Its neural network removes the “static” before it ever reaches the final picture.

The results? Better images in less time.

In the US, an FDA-reviewed study of 133 real cases found that GE’s AI software provided equal or better image quality in every single case. Radiologists preferred the AI-enhanced images 99% of the time.

This was something that Ms. Bunker observed:

“This [efficiency of the AI] means we can reduce the scanning time on certain sequences, but still get the same imaging quality, and in some instances even improve our image quality to aide in better diagnosis.”

A success story

Hull’s success with AI-powered MRI isn’t a one-off experiment. It’s a working model that other hospitals can copy.

With:

• Clear time savings (33% faster scans)
• Better patient experience (no sedation needed)
• Software that works with existing machines

The real question for other hospitals isn’t whether they should follow Hull’s lead, but how quickly they can make it happen.