Netherlands-based artificial intelligence (AI) software developer Aidence has partnered with chest and cardiac radiology reporting services provider Heart&Lung Health (H&L) on an initiative to provide CT lung cancer screening reporting for the Tameside, Glossop, and North Manchester Clinical Commission Groups in the U.K.
The screening service is provided by Manchester University NHS Foundation Trust. The H&L radiology team will analyze over 30,000 low-dose CT lung cancer screening exams over three years with the help of the company's AI-based Veye Lung Nodules software, Aidence said. These studies are being performed under the Targeted Lung Health Checks (TLHC) multicenter, four-year screening program in England.
Aidence and H&L are also supporting other TLHC sites in Luton, Basildon, Hull, Liverpool, and Stoke, according to the vendors.
![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)
