IVC filters, once considered a “set-it-and-forget-it” intervention, are now a focal point for long-term patient management due to the risks associated with prolonged use. The FDA has recommended timely removal of these devices once the risk of pulmonary embolism (PE) subsides. However, retrieval rates remain alarmingly low nationwide, ranging from 11% to 46%.
As Jenanan Vairavamurthy, MD, Interventional Radiologist and Assistant Professor of Radiology at Icahn School of Medicine at Mount Sinai, highlighted in a recent webinar, Aidoc’s AI-powered IVC filter management solution is transforming this process.
Using an advanced NLP-based algorithm, the solution identified 2.7 times more IVC filters in radiology reports with 99.5% accuracy and increased retrieval rates by 87%.
In use at Mount Sinai, clinicians have found the solution simplifies longitudinal patient tracking by integrating appointments and follow-ups for imaging or clinical visits. It flags patients lost to follow-up and creates a master list of incidental filter findings, enabling proactive interventions and addressing overdue cases.
Watch Dr. Vairavamurthy demonstrate Aidoc’s Patient Management dashboard in the clip below, and explore the full on-demand webinar, “AI and the Future of Venous Thromboembolism (VTE) Care,” for more insights from leading clinicians.
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