Transforming IVC Filter Management at Mount Sinai with AI – Healthcare AI

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IVC filters, as soon as thought of a “set-it-and-forget-it” intervention, are actually a focus for long-term affected person administration as a result of dangers related to extended use. The FDA has beneficial well timed removing of those gadgets as soon as the chance of pulmonary embolism (PE) subsides. Nonetheless, retrieval charges stay alarmingly low nationwide, starting from 11% to 46%.

As Jenanan Vairavamurthy, MD, Interventional Radiologist and Assistant Professor of Radiology at Icahn College of Drugs at Mount Sinai, highlighted in a current webinar, Aidoc’s AI-powered IVC filter administration answer is remodeling this course of. 

Utilizing a sophisticated NLP-based algorithm, the answer recognized 2.7 occasions extra IVC filters in radiology experiences with 99.5% accuracy and elevated retrieval charges by 87%. 

In use at Mount Sinai, clinicians have discovered the answer simplifies longitudinal affected person monitoring by integrating appointments and follow-ups for imaging or scientific visits. It flags sufferers misplaced to follow-up and creates a grasp record of incidental filter findings, enabling proactive interventions and addressing overdue instances.

Watch Dr. Vairavamurthy reveal Aidoc’s Affected person Administration dashboard within the clip under, and discover the complete on-demand webinar, “AI and the Way forward for Venous Thromboembolism (VTE) Care,” for extra insights from main clinicians.

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