ScreenPoint Medical has raised $16 million to support product development and international expansion of its Transpara breast AI solutions, the company said.
The funding includes $14 million from existing investors Insight Partners and Siemens Healthineers, as well as $2 million in other research grants, according to the firm.
The announcement coincides with several recent research milestones for the platform, ScreenPoint said, including the following:
- Final results from the MASAI randomized controlled trial, published in the Lancet, found Transpara produced favorable outcomes compared with standard double reading, including improvements in cancer detection and workload reduction.
- Prospective research published in Nature Medicine found Transpara could reduce screening mammography workload by up to 63.6% by excluding low-risk mammograms from radiologist review.
- A study in npj Digital Medicine found ScreenPoint's image-based breast cancer risk algorithm outperformed competing solutions at five-year risk prediction, identifying 41.8% of future cancers within the highest 14% of risk scores.
Transpara is in use in more than 30 countries and has processed over 12 million mammograms to date, ScreenPoint noted.













![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.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




