AI Structural Heart Disease
Detection Platform

Advanced ECG-based AI for detecting valve diseases, heart failure, and structural abnormalities. Clinically validated by Imperial College London research.

LVSD
Left Ventricular Dysfunction
MR
Mitral Regurgitation
AR
Aortic Regurgitation
AS
Aortic Stenosis
TR
Tricuspid Regurgitation
Imperial College London Imperial College London Clinical Validation

Detectable Structural Heart Conditions

Our AI platform detects critical structural heart diseases from standard ECG analysis, enabling early intervention and improved patient outcomes.

LV

Left Ventricular Systolic Dysfunction (LVSD)

LVSD occurs when the left ventricle cannot pump blood effectively, resulting in reduced ejection fraction and compromised cardiac output. Early detection is crucial for preventing progression to heart failure.

Clinical Significance: Often asymptomatic in early stages, LVSD can progress rapidly without intervention. AI-ECG detection enables identification before echocardiographic changes become apparent.

AI Detection Capabilities

  • • Early-stage LVSD detection
  • • Reduced EF prediction (HFrEF)
  • • Wall motion abnormality patterns
  • • Ischemic vs non-ischemic etiology

Clinical Applications

  • • Pre-operative risk assessment
  • • Chemotherapy cardiotoxicity monitoring
  • • Primary care heart failure screening
  • • Emergency department triage
MR

Mitral Regurgitation (MR)

Mitral regurgitation involves backflow of blood from the left ventricle to the left atrium during systole. Both primary (valve pathology) and secondary (functional) MR can be detected through ECG pattern analysis.

Clinical Significance: Chronic MR leads to volume overload, left atrial enlargement, and eventual heart failure. Early detection allows for optimal timing of intervention.

AI Detection Features

  • • Primary vs secondary MR differentiation
  • • Severity grading patterns
  • • Left atrial enlargement indicators
  • • Hemodynamic compensation patterns

Clinical Utility

  • • Surgical timing optimization
  • • Disease progression monitoring
  • • Risk stratification
  • • Post-repair surveillance
AR

Aortic Regurgitation (AR)

Aortic regurgitation causes diastolic backflow from the aorta to the left ventricle, leading to volume overload. The condition can be acute (medical emergency) or chronic (gradually progressive).

Clinical Significance: Chronic AR is often asymptomatic until advanced stages. AI detection enables monitoring of disease progression and optimal timing for valve intervention.

AI Analysis Capabilities

  • • Acute vs chronic AR patterns
  • • LV volume overload detection
  • • Diastolic pressure patterns
  • • Compensatory mechanism identification

Clinical Applications

  • • Bicuspid aortic valve surveillance
  • • Post-infectious monitoring
  • • Connective tissue disorder screening
  • • Surgical candidacy assessment
AS

Aortic Stenosis (AS)

Aortic stenosis involves narrowing of the aortic valve, creating outflow obstruction from the left ventricle. It's the most common primary valve disease in developed countries, particularly in elderly populations.

Clinical Significance: AS has a long asymptomatic phase followed by rapid clinical deterioration once symptoms develop. Early detection enables appropriate monitoring and timely intervention.

AI Detection Methods

  • • Mild to severe AS grading
  • • LV pressure overload patterns
  • • Hypertrophy development tracking
  • • Low-flow, low-gradient AS detection

Clinical Benefits

  • • Population screening programs
  • • Valve replacement timing
  • • Transcatheter vs surgical planning
  • • Risk stratification for intervention
TR

Tricuspid Regurgitation (TR)

Tricuspid regurgitation involves backflow from the right ventricle to the right atrium during systole. Often secondary to pulmonary hypertension or left-sided heart disease, but can be primary due to valve pathology.

Clinical Significance: TR is frequently underdiagnosed and undertreated. Early detection is essential for preventing irreversible right heart failure and optimizing treatment outcomes.

AI Detection Scope

  • • Primary vs secondary TR identification
  • • Right heart pressure assessment
  • • Pulmonary hypertension markers
  • • Right atrial enlargement patterns

Clinical Impact

  • • Transcatheter tricuspid repair planning
  • • Pulmonary hypertension evaluation
  • • Right heart catheterization indication
  • • Heart transplant consideration

Clinical Workflow Integration

Seamlessly integrate AI structural heart disease detection into existing clinical workflows for enhanced diagnostic accuracy and efficiency.

1

Standard ECG

Acquire standard 12-lead ECG using existing clinical equipment and protocols

2

AI Analysis

Automated analysis identifies patterns associated with structural heart disease

3

Clinical Report

Receive detailed analysis with risk stratification and clinical recommendations

4

Clinical Action

Guide clinical decision-making with AI-enhanced diagnostic insights

Transform Structural Heart Disease Detection

Experience the future of cardiovascular diagnostics with AI-powered ECG analysis. Request access to our clinical platform for advanced structural heart disease detection.