Viz Hypertrophic Cardiomyopathy

End-to-end approach for detecting and directing hypertrophic cardiomyopathy (HCM) patients.

Increasing awareness and reach for a potentially fatal, yet commonly missed disease

Learn more
A computer screen and a phone

Potentially fatal, yet commonly missed disease

1 Million people in the US suffer from hypertrophic cardiomyopathy (HCM). Only 20% of those have been diagnosed, with 5 years to diagnosis.

HCM is a leading cause of sudden cardiac death in people under age 35, but if detected early and treated, patients can achieve high quality of life and normal longevity.

End-to-end approach for detecting suspected HCM and directing patients

Viz HCM analyzes all 12-lead ECGs throughout the health system to flag and triage suspected cases to HCM specialists for diagnostic workup, all from the mobile app.

Flag suspected HCM: Review patients identified by AI as having signals of HCM

Follow Up: Direct patients to the HCM specialist for additional workup

Accelerate Diagnosis: View echo images and reports to diagnose HCM

Viz HCM Algorithm Development and Performance

Robust Al Development

  • 830k+ ECG exams from 300k individuals
  • Covering non-obstructive and obstructive HCM

Diverse Dataset

  • Sourced from multiple locations globally
  • Included racial & ethnic differences seen in PQRST-wave morphologies

Gold Standard Validated

  • Echocardiography
  • Cardiac MRIs

Hypertrophic Cardiomyopathy Education Series

Diagnosis, Therapeutics & Enhanced Pathways

A comprehensive program providing valuable insights into evidence-based best practices, using artificial intelligence (AI) for HCM, multidisciplinary care coordination, quality improvement strategies, and development of HCM programs.

Learn more