Viz™
HCM*

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

AI-powered software analyzes ECGs and auto-detects signals associated with HCM - while improving patient access to innovative HCM treatments.

Viz HCM ECG Viewer
*Viz for HCM not available for sale. Investigational use only.
Young people running

1 Million people in the US suffer from hypertrophic cardiomyopathy (HCM)

Only 20% of those have been diagnosed.

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 and directing HCM patients

Given that over 90% of HCM patients exhibit ECG abnormalities, Viz.ai is developing
Viz HCM, AI-powered software to analyze ECGs and auto-detect signals associated with HCM.  Viz HCM notifies clinicians, who can view ECGs and analysis results immediately. The patient can then receive follow-up diagnostic tests and be directed to the right specialist.

Viz HCM Notification Settings

Toggle on/off real-time notifications for suspected HCM findings

Viz HCM Cases View

View patients with ECGs identified as having suspected HCM, in green

Viz HCM ECG Viewer

Access multiple ECGs for patient identified as having suspected HCM

How Viz™ HCM Workflow for Research Works

Icon of ECG graph

ECG performed at point-of-care

Icon of Viz.ai cloud

ECG analysis performed by Viz HCM algorithm

Icon of alert notification

HCM suspected on ECG triggers Viz alert

Icon of medical chart

PI reviews ECG and clinically correlates findings from chart review

Icon of checklist

Viz HCM will generate a list of patients needing further HCM evaluation

Icon of headset

Clinic staff conducts outreach and coordinates HCM workup

Icon of calendar with person

Patient scheduled for HCM confirmatory testing

Icons of pie charts and line graphs

Standard of Care HCM workup completed within 6 months

Icon of person with stethoscope

Physician reviews results, confirms HCM diagnosis

Learn how Viz.ai can help detect and direct more HCM patients

Resources you may be interested in

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar