Platform Overview
Features
Cardiac AmyloidosisHeart FailureAortic StenosisPulmonary HypertensionStrain
Operations
Operational ImpactIT & ProcurementReimbursementsCore Lab SolutionsEHR Mining
Clinical Evidence
Our StoryCareersMedia Kit
NewsContact Us Login Book a Demo

Automated Right Heart Assessment for Pulmonary Hypertension

Us2.ai is the first AI system validated for fully automated right heart echocardiographic analysis in pulmonary hypertension, delivering every guideline-recommended parameter without manual interaction.

A Deadly Disease That Hides in the Right Heart

Pulmonary hypertension is frequently diagnosed late because the right ventricle is difficult to assess manually. Delayed diagnosis means patients miss the window for effective therapy.

2–3 yr
average diagnostic delay

Patients with pulmonary arterial hypertension experience years of diagnostic delay on average. By the time PH is recognized, many patients have advanced right heart dysfunction.

78%
of PAH patients are women

PAH disproportionately affects women, with a mean age of 48 at diagnosis. The disease is progressive and fatal without treatment, making early detection essential.

5
WHO clinical groups

PH spans five distinct clinical groups with different etiologies and treatments. Echocardiography is the front-line screening tool that triggers the diagnostic pathway for all of them.

The right ventricle is the hardest chamber to assess.

The RV's asymmetric shape, prominent trabeculations, and abnormal septal motion in PH make manual echocardiographic measurements time-consuming and prone to variability. This is why right heart analysis has lagged behind the left heart in AI development.

Every Guideline Parameter, Fully Automated

International guidelines include echocardiographic metrics in both PH diagnosis and risk stratification. Us2.ai delivers all of them, from view classification through measurement, without human intervention.

1

Peak Tricuspid Regurgitation Velocity

Peak TRV is the primary echocardiographic marker for estimating pulmonary artery systolic pressure and screening for PH. Us2.ai automatically identifies CW Doppler TR signals and traces the velocity envelope with ρ = 0.90 correlation to expert core lab measurements.

ρ = 0.90
2

TAPSE

Tricuspid annular plane systolic excursion is a key measure of RV longitudinal function and a guideline-recommended risk stratification parameter. Us2.ai measures TAPSE automatically with ρ = 0.78 correlation and less than 2% bias versus expert readers.

ρ = 0.78
3

Right Atrial Area

RA area reflects right heart filling pressures and is included in international guidelines' risk assessment. Us2.ai segments the right atrium automatically with ρ = 0.86 correlation. This parameter is particularly difficult and time-consuming to measure manually.

ρ = 0.86
4

RV Size & Function

RV basal diameter, end-diastolic area, end-systolic area, and fractional area change provide comprehensive assessment of RV remodeling and systolic function. Us2.ai delivers all four measurements automatically from the RV-focused apical view.

Complete RV Workup
First Validated Automated Right Heart Workflow

Prior to this study, no AI system had been validated for a fully automated right heart analysis workflow in pulmonary hypertension. Us2.ai performs the complete pipeline (view classification, view selection, segmentation, and measurement) without any manual interaction, achieving measurement yields above 90% for peak TRV and TAPSE.

Independently Validated and Peer-Reviewed

Us2.ai's right heart analysis was independently evaluated by Stanford University in a study published in CHEST, a leading pulmonology and critical care journal.

Near-Expert Discrimination

For distinguishing PAH from healthy controls, Us2.ai achieved AUC 0.98 for peak TRV, compared to AUC 0.99 for expert core lab readers. For the harder task of detecting mild PH in a referral cohort, the AI showed no statistically significant difference from clinical reads.

Low Bias on Critical Parameters

For peak TRV, TAPSE, and RA area (the three most important PH echo markers) Us2.ai demonstrated less than 2% relative bias compared to expert core lab measurements. Precision remained within clinical thresholds for all guideline parameters.

Independent Stanford Evaluation

Data acquisition and analysis were performed independently by Stanford University researchers. The study included 221 PAH patients and 213 healthy controls, the largest AI validation cohort for right heart echocardiography in PH to date.

Us2.ai Accuracy: AI vs. Expert Core Lab

Peak TRV Primary PH marker
ρ = 0.90
RV End-Systolic Area RV systolic function
ρ = 0.89
Right Atrial Area Guideline risk parameter
ρ = 0.86
TAPSE RV longitudinal function
ρ = 0.78
PAH Detection (TRV) Case-control AUC
AUC 0.98
Data from Celestin, Haddad et al., CHEST (2026; 169(1):207–219)

Stanford-validated. Fully automated. Published in CHEST.

Automate Right Heart Assessment on Every Echo

Us2.ai delivers peak TRV, TAPSE, RA area, and complete RV assessment, automatically on every scan, enabling PH screening at scale.

Book a Demo