Unlocking Early Detection with AI for Amyloid Cardiomyopathy

How can AI and care coordination can help overcome diagnostic challenges in Cardiac Amyloidosis?

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Harnessing the Power of AI at the Point of Care

AI-powered care coordination offers hope in overcoming the challenges associated with Cardiac Amyloidosis diagnosis. Trained on vast datasets of ECG and echocardiogram tests, AI algorithms can detect subtle patterns indicative of Cardiac Amyloidosis, facilitating early diagnosis even before significant symptoms appear. By capturing cues imperceptible to the human eye at earlier stages of the disease, AI-powered care coordination prompts clinicians to determine the next best action. Appropriate workup and treatment is a critical step in preventing disease progression and improving patient outcomes.

  • Early and accurate detection for timely diagnosis and personalized treatment strategies
  • Healthcare equity to expand access to high-quality care for all patients, regardless of their background or location
  • Seamless integration into existing workflows at the point of care to streamline the patient journey

Viz™ Cardio Suite: Revolutionizing Cardiac Care

Equipped with FDA-cleared algorithms, integrated imaging viewers for ECG, echo, and MRI, seamless EHR integration, and robust care team communication tools, the Viz Cardio Suite provides a comprehensive solution for streamlined cardiac disease management.

HCPs review patients with ECGs with suspected ATTR-CM findings, highlighted in green

HCPs gain access to multiple ECGs for patients flagged with suspected ATTR-CM

HCPs seamlessly navigate echocardiograms alongside ECGs for a comprehensive diagnostic overview

Case Study: Streamlining the Hypertrophic Cardiomyopathy (HCM) Patient Journey

Accelerating time to action with Viz.ai in <10 clinical workflow steps

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See for yourself how you can harness the power of AI to accelerate patient access to care through AI-powered care coordination.