Volpara Health Technologies has reached a distribution agreement to resell Lunit's AI software for mammography, which will be featured as part of the company's expanded software suite at the upcoming ECR meeting in Vienna.
Volpara and Lunit began negotiating this distribution agreement prior to entering into a scheme implementation agreement in December 2023.
Volpara will also highlight studies featuring its technology at ECR. These include the following:
- "Digital breast tomosynthesis with advanced reading methods for the Dutch national breast cancer screening program (STREAM): design and rationale of a prospective non-randomised screening trial," van den Oever, L. B.; Kregting, L.; Sechopoulos, I.; Broeders, M.
- "Improving mammography screening performance by ordering mammograms," Gommers, J.; Verboom, S.; Webster, M.; Abbey, C.; Broeders, M.; Sechopoulos, I.
- "Comparison of three AI breast density tools with a human reader," Payne, N.R.; Marziali, S.; Black, R.; Hickman, S.E.; Gilbert, F.J.
- "Validation of deep-learning based method for mammographic breast compression pressure measurement," Wang, K.; Letts, R. F.; Hill, M. L.
![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&fit=crop&h=100&q=70&w=100)
![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)
