vRad’s AI-enabled technology and support platform is now available commercially to radiology practices.
vRad Platform, which is currently used by 688 radiologists reading 8.9 million studies annually, is an integrated system with image reading and dictation, automated report generation, and operational management. It is SOC 2 Type II certified for security and availability, and includes case routing, advanced image viewer, AI-powered dictation and reporting, and operations dashboards.
Live 24/7 clinical and tech support is additionally available as an option.
vRad Platform also features autoprioritization for 19 pathologies, automated alerts to address Merit-based Incentive Patient System (MIPS) requirements relevant to the procedure being performed, autostructured reports with an average processing time of under one second, alerts on left/right and male/female report discrepancies, autodialed calls to the ordering provider for 38 critical findings, and autogenerated prior report summaries recognizing up to 200 positive pathologies that are related to the current report, according to vRad.
![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)
