Artificial intelligence software developer Viz.ai has launched an application designed to identify brain abnormalities in images of patients and use that information for placement in clinical trials.
Powered by artificial intelligence, the company's Viz Recruit software automatically detects conditions such as hemorrhage and tumors in patients across a health system and communicates their status to investigators and research teams, according to the company. This has the potential to accelerate patient enrollment and substantially reduce costs, Viz.ai said.
The software has been deployed successfully in a study by medical instruments manufacturer NICO of minimally invasive hematoma extraction in patients with intracranial hemorrhage.
Viz.ai markets a range of software products designed to improve workflow related to radiographic images, including Viz LVO for computer-aided triage and notification and Viz CTP for automated cerebral perfusion image analysis. The U.S. Centers for Medicare and Medicaid Services granted reimbursement to Viz LVO through a new technology add-on payment in September.
![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)
