Artificial intelligence (AI) technology developer Segmed has formed a partnership with Nvidia and AI data provider RadImageNet to produce and commercialize synthetic medical imaging data for research and development.
Segmed will offer synthetic medical imaging data on its Insight medical data curation platform, which will also continue to include more than 60 million deidentified real-world imaging records, according to the firm. Generative imaging models have been trained to produce synthetic data for training of AI algorithms in CT, MRI, ultrasound, and endoscopic surgery applications; these models can generate over 160 pathologic classifications, as well as create synthetic segmentations, Segmed said.
Researchers and companies doing medical research will be able to license the data.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
