Viz Cardio Suite Brings AI to Disease Detection, Workflow Optimization

Viz.ai has launched Viz Cardio Suite, which leverages AI-powered disease detection, workflow optimization, and care team coordination to provide efficiencies in the delivery of cardiovascular care.

“Tools like the Viz Cardio Suite will identify patients with targeted cardiovascular diseases and ensure the right clinician is alerted and involved in the patient's care at the right time with the right therapy,” said Dr. Kenneth Rosenfield, Interventional Cardiologist, Section Head of Vascular Medicine and Intervention at Massachusetts General Hospital. “Furthermore, using this latest technology will help bridge neurology and cardiology care teams to advance the heart-brain connection and improve how we treat stroke as well as structural heart disease, atrial fibrillation and other debilitating, cardiac diseases.”

Despite ongoing advances in diagnostics and therapeutics, heart disease remains the leading cause of death worldwide, largely due to delayed diagnosis or inefficient care pathways. With its Cardio Suite, Viz.ai is streamlining care pathways by improving patient identification, developing disease-specific workflows and connecting patients to the right provider in their medical journey.

“Viz.ai is fast becoming adopted across U.S. health systems as the system of action. The comprehensive Viz Cardio Suite brings these capabilities to cardiovascular disease, where optimal patient outcomes often depend on the patient reaching the right therapy fast,” said Chris Mansi, CEO of Viz.ai. “Not only does the Viz Cardio Suite leverage AI to detect more disease in more patients, but it also accelerates the care pathway. This can improve quality of care for patients and working practices for cardiologists, while at the same time increasing hospital revenue and reducing overall healthcare costs.”

The Viz Cardio Suite expands Viz.ai’s leadership in cardiology beyond its FDA-cleared AI modules for pulmonary embolism (Viz PE), with automated right ventricle/left ventricle (RV/LV) ratio algorithm, and aortic disease (Viz AORTIC).

The solution also includes Mobile ECG Viewer for quick, easy viewing of all 12-lead ECGs as well as the ability to compare ECGs to previous ones and share them via a HIPAA-compliant app. The company’s Web Cardiac Imaging Viewing also enables a pre-PACS chest CT viewer.