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Artificial Intelligence and Digital Technology in Cardiovascular Imaging: A Narrative Review
Constantinos H Papadopoulos1,2, Dimitris Karelas1, Christina Floropoulou1
1Echocardiographic Laboratory, 2nd Cardiology Department, Korgialeneio-Benakeio Red Cross Hospital, 11526 Athens, Greece.
Biotech (Basel (Switzerland))
|March 27, 2026
Summary
Artificial intelligence (AI) and digital technologies are revolutionizing cardiovascular imaging, improving accuracy and efficiency in assessments. Challenges in validation and integration remain for widespread clinical adoption of these advanced AI tools.
Area of Science:
- Cardiovascular Imaging
- Artificial Intelligence
- Digital Health
Background:
- Digital technologies and AI are transforming cardiovascular imaging.
- These advancements enable more precise, efficient, and reproducible cardiac assessments.
Purpose of the Study:
- To review recent advances in AI-driven cardiovascular imaging.
- To summarize applications in image acquisition, quantification, and interpretation.
Main Methods:
- Narrative review of contemporary literature.
- Focus on machine learning and deep learning applications.
- Analysis of AI in echocardiography, CT, MRI, and nuclear imaging.
Main Results:
- AI enhances image quality, reduces analysis time, and automates measurements.
- AI facilitates pattern recognition for diagnosis and risk stratification.
- Digital platforms support remote imaging and AI-assisted training.
Conclusions:
- AI and digital technologies significantly improve cardiovascular imaging accuracy, efficiency, and accessibility.
- Safe clinical integration requires validation, transparency, and ethical frameworks.
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