← Cases
United KingdomHealthcare and life sciences2025 – ongoing

Hull University Teaching Hospitals NHS Trust

Deep-learning MRI reconstruction

Hull hospitals reported routine head MRI scans falling from 30 to 20 minutes

WorkingCompany's own claimOfficial ↗

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

20minutes for a routine head MRI, previously 30, according to the trustCompany's own claim[1]
31routine lumbar-spine patients scanned per 12-hour day, previously 21, according to the trustCompany's own claim[1]

Takeaway

The hospitals increased scanning capacity by upgrading reconstruction software on existing machines.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

  1. Use of AI technology means shorter MRI scan times for patients
    Hull University Teaching Hospitals NHS Trust4 Jul 2025Company publication

Source summaries

[1]Hull University Teaching Hospitals NHS Trust4 Jul 2025

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗