The Peninsula imaging network (PenRAD) has become the first U.K. imaging group to deploy Qure.ai’s AI-powered software for chest CT (qCT).
The product, which is part of Qure.ai’s AI-based lung cancer suite for chest x-ray and CT, is designed to detect, measure, and track lung nodules, which may be indicative of lung cancer.
qCT shows nodule development over two timestamps – pulling a prior image and comparing the nodule found across different time periods.Qure.ai
The implementation of qCT was undertaken by PenRAD with funding from the government’s Artificial Intelligence Diagnostic Fund (AIDF), in collaboration with Health Innovation Southwest and the Peninsula Cancer Alliance.
PenRAD comprises four National Health Service (NHS) Trusts in Devon, Cornwall, and the Scilly Isles in southwest England: Royal Cornwall Hospitals NHS Trust; Royal Devon University Healthcare NHS Foundation Trust; Torbay and South Devon NHS Foundation Trust; and University Hospitals Plymouth NHS Trust.
According to Qure.ai, qCT is currently being used to process around 1,200 chest CT scans each week for the patients PenRAD serves across a range of coastal, rural, and urban locations.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
