AI-enabled precision echocardiography advances patient-specific cardiovascular assessment, improving heart failure phenotyping, cardiotoxicity prediction, and sudden death risk stratification.
Conventional echocardiography traditionally relies on population-derived reference values and dichotomous classification schemes that do not fully account for individual patient characteristics or disease complexity. Artificial intelligence (AI) is driving a paradigm shift toward precision echocardiography by enabling patient-specific cardiovascular assessment through the integration of phenotypic, clinical, and biological data. This review examines how AI is transforming echocardiography from a population-based test into a patient-specific assessment tool that supports precision cardiovascular care. It highlights three clinical applications with potential clinical impact: Heart Failure with Preserved Ejection Fraction phenogrouping for targeted therapy selection, cardio-oncology surveillance with individualized cardiotoxicity risk prediction, and cardiomyopathy risk stratification for personalized sudden cardiac death prevention. For each application, it describes the clinical challenge, the AI-enabled precision solution, and its potential clinical impact. It also outlines a practical roadmap for clinical adoption. Precision echocardiography, powered by AI, holds promise for transforming cardiovascular imaging and diagnostics by enabling more patient-specific assessment, earlier disease detection, and personalized therapeutic strategies.
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Lamia Al Saikhan (Thu,) reported a other. AI-enabled precision echocardiography advances patient-specific cardiovascular assessment, improving heart failure phenotyping, cardiotoxicity prediction, and sudden death risk stratification.
www.synapsesocial.com/papers/69a287a00a974eb0d3c03844 — DOI: https://doi.org/10.3390/diagnostics16050694
Lamia Al Saikhan
Diagnostics
Imam Abdulrahman Bin Faisal University
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