Early findings of AI study at Frimley Health NHS Foundation Trust show 99.7% accuracy in triaging chest X-rays as normal
Frimley Health NHS Foundation Trust and Qure.ai have announced the early results of a pilot study using an innovative radiology AI solution to read and differentiate between normal and abnormal chest X-rays (CXRs). qXR, a CE class IIb MDR cleared solution developed by Qure, was deployed with the hypothesis to categorise normal x-rays – approximately 40% of the caseload from GP and outpatient requests – and augment overall reporting efficiency. Early results show 99.7% accuracy in triaging CXRs as normal, with the potential to reduce consultant radiologist’s workload by up to 58% by transferring cases to radiographer reporting workload. Additionally, the qXR AI identified all cancer cases, including inconspicuous cancer risk nodules that may traditionally remain unnoticed. This heralds the potential of using AI for early detection and treatment of lung cancer.
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