AI-Enabled Precision Echocardiography: Toward Personalized Cardiovascular Care

Area of Science:

• Cardiovascular Imaging and Diagnostics
• Artificial Intelligence in Medicine
• Precision Medicine

Background:

• Conventional echocardiography uses population data, limiting personalized patient assessment.
• Artificial intelligence (AI) integration facilitates patient-specific cardiovascular evaluation.
• AI enables the incorporation of diverse data for enhanced diagnostic accuracy.

Purpose of the Study:

• To review the transformative role of AI in echocardiography towards precision cardiovascular care.
• To highlight AI-driven applications in phenogrouping, risk prediction, and stratification.
• To outline a roadmap for the clinical adoption of precision echocardiography.

Main Methods:

• Review of current literature on AI applications in echocardiography.
• Analysis of AI's role in patient-specific cardiovascular assessment.
• Examination of clinical impact in heart failure, cardio-oncology, and cardiomyopathy.

Main Results:

• AI enables patient-specific echocardiography, moving beyond population-based metrics.
• Identified key applications: Heart Failure with Preserved Ejection Fraction phenogrouping, individualized cardiotoxicity risk prediction, and cardiomyopathy risk stratification.
• AI-powered precision echocardiography promises earlier disease detection and tailored treatment strategies.

Conclusions:

• AI is revolutionizing echocardiography into a precision tool for personalized cardiovascular medicine.
• Precision echocardiography supports targeted therapies, individualized surveillance, and personalized prevention strategies.
• AI integration in echocardiography holds significant potential for advancing cardiovascular diagnostics and patient outcomes.