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United KingdomHealthcare and life sciences2020 – ongoing

Bolton NHS Foundation Trust

qXR chest X-ray second reads at Royal Bolton Hospital

Royal Bolton Hospital used qXR for COVID-19 triage, with Qure.ai reporting 91% sensitivity

WorkingVendor case studyVendor ↗

Problem

Royal Bolton Hospital faced an influx of symptomatic patients while PCR results could take more than 24 hours. Clinicians needed support assessing chest X-rays.

Approach

The hospital deployed Qure.ai's qXR in April 2020. Clinicians and radiologists used its automated image analysis as a second read and to support patient prioritization.

Results

91%sensitivity for predicting COVID-19 changes on chest X-rays, reported by Qure.aiVendor case study[1]
77%specificity for predicting COVID-19 changes on chest X-rays, reported by Qure.aiVendor case study[1]

Takeaway

The AI supported clinical decisions during testing delays. The vendor did not disclose a measured reduction in staff workload.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Vendor case study

Sources

  1. The impact of AI at The Royal Bolton NHS Hospital, UK
    Qure.ai22 Jul 2022Vendor publication

Source summaries

[1]Qure.ai22 Jul 2022

Qure.ai described qXR's deployment for second reads and triage support. It reported sensitivity and specificity figures without a quantified workload result.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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