Software developer RadLogics and Perception Vision Medical Technology Company (PVmed) of China are partnering on artificial intelligence (AI) medical imaging, which will extend the reach of the firms across Asia.
When the pandemic struck, RADLogics pivoted its AI algorithms to detect COVID-19 in CT and x-ray images. Similarly, PVmed also launched a COVID-19 AI-assisted diagnosis system to help Chinese clinicians fight the spread of the novel coronavirus.
Now the two are joining forces to explore safer, more intelligent, and efficient AI medical imaging algorithms that will digitize the workload of the radiology and radiation oncology departments in multiple international markets.
![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)
