Artificial Intelligence-Enhanced Echocardiography for Systolic Function Assessment

Area of Science:

• Cardiology
• Medical Imaging
• Artificial Intelligence

Background:

• Accurate assessment of left ventricular systolic function is vital for diagnosing and managing cardiovascular diseases.
• Echocardiography is the primary non-invasive imaging modality for measuring left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS).
• Current echocardiographic assessments are limited by sonographer experience, leading to inter-observer variability, and time-consuming post-processing for GLS.

Purpose of the Study:

• To review the latest advancements in artificial intelligence (AI) for assessing left ventricular systolic function via echocardiography.
• To explore AI's role in the differential diagnosis of heart diseases using echocardiographic data.
• To discuss the challenges and future potential of AI in cardiac function analysis.

Main Methods:

• Review of current literature on AI applications in echocardiography for cardiac function assessment.
• Focus on AI's ability for automated feature extraction, cardiac structure identification, and myocardial motion analysis.
• Exploration of AI-driven estimation of ventricular volume and systolic function indexes.

Main Results:

• AI demonstrates powerful learning capabilities for accurate feature extraction from echocardiographic images.
• AI enables reliable estimation of ventricular volume and myocardial motion, leading to automated systolic function index output.
• AI has the potential to overcome limitations of human assessment, including inter-observer variability and time-consuming processes.

Conclusions:

• AI is emerging as a transformative tool in echocardiography for objective and efficient assessment of left ventricular systolic function.
• AI-powered echocardiography holds significant promise for improving the accuracy and consistency of cardiac diagnosis and disease management.
• Further research and development are needed to fully realize the potential of AI in this field.