A Swedish deep-learning consortium of academic institutions and vendors has won a support grant worth 500,000 Swedish kroner (52,000 euros) from a Swedish government-funded innovation agency.
The consortium, which includes Royal Institute of Technology, the Karolinska Institute, image enhancement software developer ContextVision, and radiation therapy firm Elekta, are working on a project to evaluate whether deep learning can provide a more exact and more reliable analysis of images than visual inspection, according to ContextVision. The research will focus on a group of cancer patients who have had PET/CT images performed before and after treatment and during follow-up.
Clinical data will be used to develop deep-learning algorithms that can predict survival and cure, ContextVision said.
![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)
