Viz.ai Receives Clearance for New Algorithm for Pulmonary Embolism

What You Should Know:

– Viz.ai, a provider of AI-powered disease detection and intelligent care coordination, today announced it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an automated RV/LV ratio algorithm, a seamless new component of the Viz PE Solution (launched in November 2021).

– The algorithm is designed to quickly and accurately measure the diameter of the heart’s ventricles to provide the ratio of the maximum right ventricle (RV) diameter versus that of the left ventricle (LV). Automating this key patient risk indicator will enable care teams to respond more quickly than before.

RV/LV Ratio Algorithm

Diagnosis and care coordination for patients suffering from PE requires fast multi-disciplinary communication for risk stratification and decision making. Launched in November 2021, Viz PE uses deep learning to identify suspected central and segmental pulmonary emboli in under two minutes.¹ With the integration of the RV/LV algorithm, the proven solution now includes an automated assessment of potential right ventricle dilation. Delivered quickly to the entire care team on the Viz PE Solution, the information further enables care teams to ensure that the right clinical decision is made at the right time – no matter where the patient resides in the healthcare system – to ensure quick and appropriate care.

“The Viz.ai automated CT scan clot detection system improves diagnostic acumen and expedites care for patients with acute pulmonary embolism,” said Dr. Kenneth Rosenfield, Interventional Cardiologist, Section Head of Vascular Medicine and Intervention at Massachusetts General Hospital and co-founder of the PERT Consortium^TM. “But the true killer in patients with PE is failure of the right heart. With this clearance, the Viz PE Solution now includes both detection of clot in the lungs and degree of strain on the right heart. This will enable clinicians to quickly triage patients and treat them appropriately, by providing a powerful tool for early detection and risk stratification. This expedited critical decision-making will undoubtedly save lives.”

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