Canon Medical Research Europe, a subsidiary of Canon Medical Systems, has won over 155,000 euros in funding for its proposal to develop an artificial intelligence (AI) tool that can recognize, assess, and measure cancer tumors.
The researchers geared their work toward the management of malignant pleural mesothelioma, commonly referred to as asbestos cancer. Their aim is to create an AI evaluation tool that is able to rapidly measure the size of mesothelioma tumors, which grow in a skin-like manner around the lung, according to a release from Scottish innovation center the Data Lab.
Using this information, the AI tool may be able to determine more quickly and accurately whether new cancer drugs are having a useful effect compared with current human reporting methods.
Canon's award came as a result of winning the Cancer Innovation Challenge, a competition aimed at inspiring technological innovations in Scotland for improving cancer treatment. The Scottish government was the primary financial contributor, and the Data Lab organized the award's distribution.
![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)
