# AI-Enabled Precision Echocardiography: Toward Personalized Cardiovascular Care

## TL;DR

AI is transforming echocardiography by enabling personalized cardiovascular assessments that consider individual patient data for better diagnosis and treatment.

## Contribution

The paper introduces AI-enabled precision echocardiography as a new approach to cardiovascular care by integrating patient-specific data.

## Key findings

- AI can improve targeted therapy selection for heart failure with preserved ejection fraction.
- AI enables individualized cardiotoxicity risk prediction in cardio-oncology.
- AI supports personalized sudden cardiac death prevention in cardiomyopathy.

## Abstract

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.