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AI-Powered Analysis

Consistent Stress Echo Analysis for Ischemia Assessment

Us2.ai supports confident ischemia assessment with consistent wall-motion analysis and structured rest-vs-stress comparison, so you can focus on clinical decisions.

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The Clinical Problem

The Most Operator-Dependent Test in Cardiology

Stress echocardiography is recommended by guidelines for detecting ischemia, assessing viability, and guiding revascularization. But its accuracy depends almost entirely on the reader's experience.

Why Automation Matters for Stress Echo

Unlike resting echo, stress echo adds the dimension of time. Image quality degrades at peak heart rates, acquisition windows are narrow, and the reader must compare multiple stages simultaneously. These constraints amplify the need for quantitative, reproducible analysis.

Time Pressure
Peak stress images must be acquired and interpreted in seconds before heart rate drops. Manual scoring under this pressure increases error.
Visual Subjectivity
Wall motion is graded by eye. Subtle regional differences are easily missed, especially in technically difficult windows or inexperienced hands.
Reader Scarcity
Competency in stress echo requires extensive supervised training. Many centers cannot offer the test consistently due to limited expert availability.
How Us2.ai Helps

Consistent Wall-Motion Analysis at Every Stage

Us2.ai brings structure and consistency to every stage of the stress protocol, so clinicians can assess wall motion and inducible ischemia faster and more reproducibly.

1

Structured Segmental Analysis

Automated segmental analysis across rest and stress stages, providing a consistent, structured framework for reviewing all segments efficiently.

Core Analysis
2

Bull's-Eye Mapping

Clear bull's-eye display at rest and stress, making it easy to compare stages and spot new abnormalities with color-coded severity across all segments.

Visualisation
3

Rest-vs-Stress Comparison

Automated side-by-side comparison between rest and stress stages, presenting segmental changes to support efficient identification of potential differences.

Ischemia Detection
4

Integrated with Full Echo Analysis

Stress echo results are presented alongside LVEF, GLS, and other key echo parameters. One platform delivers the complete resting and stress workup with no extra steps.

Complete Workup
Baseline
1 6 5 4 3 2 7 12 11 10 9 8 13 18 17 16 15 14 Ant-sep Ant Ant-lat Inf-lat Inf Inf-sep
Stress
1 6 5 4 3 2 7 12 11 10 9 8 13 18 17 16 15 14 Ant-sep Ant Ant-lat Inf-lat Inf Inf-sep
Normal
Hypokinetic
Akinetic
Fits Your Existing Stress Protocol

Us2.ai integrates into exercise stress workflows. Images are analyzed in real time as they are acquired, with results available before the patient leaves the lab. No changes to your acquisition protocol or equipment are required.

Evidence & Context

Why Automated Stress Echo Matters

International guidelines recommend stress echocardiography for ischemia detection, but acknowledge its limitations. Automation addresses the key barriers.

Streamlining Interpretation

Stress echo interpretation is time-pressured and complex. Structured, automated analysis streamlines the process, helping clinicians review segmental data faster and more consistently.

Expanding Access

Stress echo adoption is often limited by availability of experienced readers. Structured analysis tools can support broader use by assisting interpretation workflows.

Structured Data at Every Stage

Automated analysis delivers structured measurements alongside every study, giving clinicians organized data to support their evaluation across all protocol stages.

View All Clinical Evidence
FAQ

Frequently Asked Questions

Common questions about stress echocardiography and AI.

What is stress echocardiography?
Stress echocardiography is an imaging test that uses ultrasound to assess heart wall motion at rest and during exercise or pharmacological stress. It is a guideline-recommended method for detecting myocardial ischemia, assessing viability, and guiding decisions about revascularization.
Why is stress echo interpretation challenging?
Stress echo relies on visual assessment of wall motion across 16 or 17 segments at multiple stages (rest and stress). This is inherently subjective, with studies showing significant inter-observer disagreement. Peak stress images must be interpreted in seconds before the heart rate drops, adding time pressure. Training to competency requires years of supervised reading.
How does AI improve stress echocardiography?
AI streamlines the stress echo workflow by providing structured segmental analysis across all stages, bull's-eye polar maps for intuitive visualization, and automated rest-vs-stress comparison to highlight potential differences. This helps clinicians review studies faster and more consistently, enabling more centers to offer stress echo confidently.
Does Us2.ai work with exercise stress protocols?
Yes. Us2.ai integrates into existing exercise stress workflows. Images are analyzed in real time as they are acquired, with no changes required to acquisition protocols or equipment.
Related Features

Automated Detection Across Cardiac Conditions

Heart Failure

Detect HFrEF, HFmrEF, and HFpEF with accurate, reproducible LVEF, GLS, and diastolic function on every scan.

Cardiac Amyloidosis

FDA-cleared deep-learning detection from a standard echo view, with automated wall thickness, GLS, and apical sparing.

Aortic Stenosis

Automated detection and grading of aortic stenosis severity: Vmax, mean gradient, AVA, and classification.

Pulmonary Hypertension

Detect elevated PA pressure with peak TRV, TAPSE, RA area, and complete RV function assessment.

Strain (GLS)

Detect subclinical dysfunction with vendor-agnostic global longitudinal strain (GLS) from standard 2D echo.

Stress echo assesses ischemia. Automation brings structure and consistency.

Consistent Wall-Motion Analysis on Every Stress Echo

Consistent wall-motion analysis and structured rest-to-stress comparison, designed to support confident ischemia assessment within your existing workflow.

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