Radiologists and healthcare teams face mounting challenges in tracking and managing patients with chronic or incidental findings identified across multiple imaging studies. Missed follow-ups or delayed recognition of conditions can lead to serious complications, adverse events, and preventable mortality.
This AI-powered solution bundle combines detection and language model algorithms to identify, extract, and flag key findings related to brain and aortic aneurysms, coronary artery calcification, and IVC filters directly from imaging and report data. By surfacing high-risk patients for timely review and coordinated follow-up, it helps clinicians close care gaps, reduce missed findings, and improve long-term outcomes through proactive patient management and early intervention.