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Artificial intelligence-enhanced echocardiography in cardiovascular disease management
Peder L Myhre1,2,3, Bjørnar Grenne4,5, Federico M Asch6
1K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Nature Reviews. Cardiology
|August 6, 2025
Summary
Artificial intelligence (AI) enhances echocardiography for better diagnosis and patient care. This review explores AI
Area of Science:
- Cardiovascular Imaging
- Medical Artificial Intelligence
- Echocardiography
Background:
- Artificial intelligence (AI) is revolutionizing echocardiography.
- Current applications focus on improving diagnostic precision and efficiency.
Purpose of the Study:
- To provide an in-depth review of AI applications in echocardiography.
- To explore AI integration across the echocardiographic workflow.
- To discuss challenges and future directions for trustworthy AI in cardiovascular care.
Main Methods:
- Comprehensive literature review of AI in echocardiography.
- Analysis of AI integration in image acquisition, analysis, and interpretation.
- Examination of clinical studies and technological advancements.
Main Results:
- AI can automate measurements, enable task shifting, and identify novel disease patterns.
- Potential for AI to uncover new phenogroups beyond current classifications.
- Validation, regulatory navigation, and ethical considerations are crucial for trustworthy AI.
Conclusions:
- AI holds significant potential to advance cardiovascular care through improved echocardiography.
- Widespread clinical implementation faces limitations that require further attention.
- A balanced perspective on AI's advantages and limitations is essential.
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