Precision Insights for Every Heart

Revaz AI personalizes life-changing revascularization decisions with data-driven insights built for every unique patient.

The Problem

Traditional risk scores and guidelines miss patient-specific risk factors and reinforce health disparities.

Patients experience increased adverse events, repeat procedures, and re-admissions.

Missed opportunities for better care increase financial and resource strain on already overburdened health systems.

Personalized CAD revascularization treatment selection.

Revaz automatically analyzes comprehensive patient data to provide personalized risks of adverse events and mortality for treatment options.

Trained on diverse, real-world data, Revaz allows clinicians to navigate complex CAD cases with ease, speed, and integrated reporting.

Personalized treatment planning can help minimize future complications and re-admissions while improving health outcomes and lowering costs.

Heart attack symptoms bring Eric to the doctor. CAD is suspected and standard tests begin.

Eric’s treatment decision is based on medical imaging, clinical expertise and population health data.

Eric could be at increased risk of complications, repeat surgeries, readmissions, and greater care costs.

Heart attack symptoms bring Eric to the doctor. Standard tests confirm CAD as Revaz prepares personalized risk insights.

Personalized risk predictions for Eric from Revaz informs treatment, minimizes future adverse events and optimizes care costs.

Eric’s risk of future complications is reduced. Leading to better heart health and optimizing care costs.

Compare and contrast personalized outcomes to support treatments that prioritize longevity and patient care goals.

Revaz's predictions take comprehensive patient data and demographics into account for better real-world applicability.

State-of-the-art AI architecture optimized for transparency, traceability, and explainability of features.