United KingdomHealthcare and life sciences2023 – ongoing

NHS Greater Glasgow and Clyde

qER prioritisation of urgent head CT findings

NHS Greater Glasgow and Clyde used AI to analyse 651 head CT scans during winter pressures

In progressVendor case studyVendor ↗

Problem

Emergency clinicians needed timely head CT reports while radiology services faced winter pressure. Urgent findings required prompt review.

Approach

Queen Elizabeth University Hospital deployed Qure.ai's qER during winter 2023/24 as part of the ACcEPT evaluation. The software analysed non-contrast head CT scans and prioritised suspected critical findings for radiologists to confirm.

Results

651head CT scans analysed in the initial weeks, according to Qure.aiVendor case study[1]

128head injuries identified by qER for radiologist review, according to Qure.aiVendor case study[1]

Takeaway

The initial figures described scans processed and injuries flagged. They did not establish diagnostic accuracy or a measured reduction in reporting time.

Sources

Urgent findings from head-CT scans prioritised by AI at NHS Greater Glasgow and Clyde to support winter A&E pressures
Qure.ai4 Apr 2024Vendor publication

Source summaries

[1]Qure.ai4 Apr 2024

Qure.ai described the first live ACcEPT deployment during winter 2023/24. It reported 651 scans analysed and 128 head injuries identified for clinical review, with wider effectiveness evaluation still planned.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026