Viz.ai has launched Viz Assist, a suite of AI tools intended to improve how healthcare teams identify, prioritize, and act on patient data.
Viz Assist includes inputs from ambient listening and the electronic health record (EHR) and creates a generative AI summary of the patient, which is then combined with Viz.ai's U.S. Food and Drug Administration-cleared imaging AI algorithms, it said.
"With Viz Assist, hospitals and health systems can move beyond manual mining of EHR data, static tools, and reactive alerts, and instead benefit from intelligent agents that constantly scan for clinical signals, reduce cognitive burden, and help clinicians focus on what matters most: the patient," the company said.
![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)
