AI in Echocardiography: Advancing the Differential Diagnosis of LVH
Introduction
Differentiating left ventricular hypertrophy (LVH) phenotypes remains
a significant clinical challenge, with important implications for
early diagnosis and patient management.
This interactive workshop will explore how AI-powered
echocardiography can support clinicians through automated cardiac
measurements, enhanced disease detection and more efficient
diagnostic workflows.
Through real-world clinical cases and practical demonstrations,
participants will discover how AI can complement clinical expertise
and help identify patients who may require further investigation for
conditions such as hypertrophic cardiomyopathy and cardiac
amyloidosis.
Target Audience
- Cardiologists, echocardiographers, cardiac imaging specialists, sonographers and clinicians involved in the diagnosis and management of patients with LVH, cardiomyopathies and heart failure.
Program
| Time | Topic | Faculty |
|---|---|---|
| 09:00-09:15 | Introduction and the Clinical Need: Differentiating LVH Phenotypes | Firas Al Badarin (UAE) |
| 09:15:09:30 | AI for Echocardiography |
Daniel Ishak (AUS) & Mary Laurine Noquez (SING) |
| 09:30-10:00 | Case Studies | Firas Al Badarin (UAE), Daniel Ishak (USA) & Mary Laurine Noquez (SING) |
Educational Objectives
By the end of this session, participants will be able to:
- Recognise the clinical challenges in differentiating left ventricular hypertrophy (LVH) phenotypes and their implications for patient management.
- Understand how AI-powered echocardiography can support automated measurements, disease detection and diagnostic decision-making.
- Explore, through clinical case studies, the practical application of AI in identifying and differentiating LVH phenotypes, including HCM, cardiac amyloidosis and hypertensive heart disease.