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Platform Overview
Features
Cardiac Amyloidosis Heart Failure Aortic Stenosis Pulmonary Hypertension Strain Stress Echocardiography
Operations
Operational Impact Deployment & Security Integrations Core Lab Solutions EHR Mining Partnerships
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Evidence-Backed Results

Real-World Results

Peer-reviewed studies and clinical deployments demonstrate measurable efficiency gains across echo labs worldwide.

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Key Outcomes

Quantified Impact Across Studies and Deployments

70%
Reduction in measurement & report time
Peer-reviewed study
~75%
Faster diagnosis time at clinical site
Clinical deployment
Increased daily scan volume
Randomized controlled trial
The Evidence

Published Studies & Clinical Outcomes

Each result is drawn from a peer-reviewed publication or documented clinical deployment.

Peer-Reviewed Study

AI Echo Reduces Exam & Report Time by 70%

A peer-reviewed study published in the Journal of Echocardiography demonstrated that AI-assisted analysis dramatically cuts the time from measurement to final report.

Measurement Time
Manual
325s
AI
159s
Report Creation
Manual
429s
AI
71s
Total (Measurement + Report)
Manual
754s
AI
230s
70% reduction in combined measurement and report creation time
Randomized Controlled Trial

AI Echo Automation Improves Sonographer Workflow

A randomized controlled trial demonstrated that AI-assisted echocardiography improves key operational metrics for sonographers in real clinical settings.

Reduced Exam Time

13.0 ± 3.5 min vs 14.3 ± 4.2 min (P<0.001)

Increased Daily Volume

More scans completed per day with AI assistance

Improved Image Quality

AI feedback loop improved acquisition quality

Reduced Mental and Physical Fatigue of Sonographers

Despite the higher workload, sonographers reported lower mental fatigue scores

Statistically significant improvements across exam time, throughput, and quality
Clinical Deployment

Vietnam: From 40 Minutes to 10

At the University of Medicine and Pharmacy Hospital in Ho Chi Minh City, Us2.ai was deployed to support cardiovascular imaging at scale.

Before
35–40min
Diagnosis time per study
After
∼10min
Diagnosis time per study
“

AI can significantly shorten the diagnosis time… This helps reduce the workload for medical staff, limit errors as well as save treatment costs.

Le Minh Khoi Associate Professor, Head of Cardiovascular Imaging, University of Medicine and Pharmacy Hospital
View All Clinical Evidence
FAQ

Frequently Asked Questions

Common questions about the operational impact of AI echocardiography.

How much time does AI echo analysis save?
A peer-reviewed study demonstrated that Us2.ai reduces combined measurement and report creation time by 70%, from an average of 754 seconds to 230 seconds per study. A randomized controlled trial also showed statistically significant reductions in exam time.
What is the operational impact of AI echocardiography?
AI echocardiography delivers operational impact through reduced reporting time (70% faster), increased daily scan volume, lower measurement variability, and faster diagnosis. A clinical deployment reduced diagnosis time from 35-40 minutes to approximately 10 minutes.
Is there clinical evidence for AI echocardiography?
Yes. Us2.ai's technology is backed by 150+ peer-reviewed publications, the largest evidence base in AI echocardiography. This includes the AI-ECHO randomized controlled trial, the first RCT of AI in echocardiography, demonstrating improved workflow and image quality.
Clinical Coverage

AI Detection Across Disease Areas

Heart Failure

AI-assisted HFpEF and HFrEF detection with quantitative EF, strain, and diastolic function.

Cardiac Amyloidosis

Detect cardiac amyloidosis hallmarks from a standard echo: LV wall thickness, strain pattern, and apical sparing.

Aortic Stenosis

Automated grading of aortic valve disease severity from continuous- and pulsed-wave Doppler.

Pulmonary Hypertension

Right-heart strain, RV function, and PA pressure quantification for PH screening and follow-up.

Strain Imaging

Vendor-independent global longitudinal strain (GLS) and regional strain across all 17 LV segments.

Stress Echocardiography

AI-assisted analysis of rest and peak-stress images for ischaemia detection and prognostic assessment.
Related Pages

Explore More Operations Resources

Deployment & Security

Deployment timeline, hardware specs, compliance certifications, and security documentation for your evaluation.

Core Lab Solutions

End-to-end clinical trial echo analysis with automated workflow, QA, and audit logging.

EHR Mining

Mine archived echocardiograms for undetected disease with zero-touch AI retrospective analysis.

Integrations

How Us2.ai plugs into your stack across ultrasound, AI marketplace, PACS, and cloud / API pathways.

Partnerships

OEM, AI, PACS, and academic collaborations across the Us2.ai ecosystem.

ROI Calculator

Model year-one return: additional billable echos, net revenue, ROI, and payback for your practice.

Clinical Evidence

150+ peer-reviewed studies validating Us2.ai across disease detection, accuracy, and workflow.

Every echo lab has inefficiencies. Most can be measured.

See the Impact for Your Institution

See how Us2.ai can reduce reporting time and increase throughput at your institution.

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