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The Exciting Future of Cardiovascular Imaging
Key result
Artificial intelligence and digital twins advance cardiovascular imaging toward predictive and personalized care.
JACC. Cardiovascular imaging published a graphical abstract
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Why the study?
Advances in cardiovascular imaging modalities and artificial intelligence are rapidly evolving, necessitating a comprehensive overview of their impact on diagnosis and management.
PICO
P
Population
Cardiovascular disease
I
Intervention / Comparator
Cardiovascular imaging technologies
Key expert perspectives
Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“From a normal coronary CT, we can give the patient a guarantee of ten years that he or she doesn't have a myocardial infarction – that's a very strong statement.”
“AI is not a threat, but it is indeed an opportunity for echocardiography to grow and have more impact.”
Implication
This state-of-the-art review highlights advances in cardiovascular imaging modalities, artificial intelligence integration, and digital twins driving the future of personalized, data-driven patient care.
Abstract
The field of cardiovascular imaging is entering an exciting era of accelerated innovation, fueled by advances in hardware, reconstruction algorithms, and artificial intelligence. Each imaging modality-echocardiography, computed tomography, cardiac magnetic resonance, and nuclear imaging-continues to evolve, with distinct strengths and constraints that complement one another. Collectively, these advances drive improved diagnostic accuracy, refine risk stratification, optimize therapy planning, and enable effective monitoring of treatment response. Artificial intelligence integration will increasingly support the entire imaging workflow, from acquisition planning and reconstruction to segmentation and quality control, facilitating faster, more reproducible, and quantitative imaging, and integrating imaging with multimodal clinical information to enable individualized management. Further, digital twins and physics-based simulation, powered by imaging-derived anatomy and tissue properties, provide mechanistic insight and a platform for scenario testing. This state-of-the-art review outlines key advances across all major modalities and explores how emerging technologies are driving the future of cardiovascular imaging toward data-driven predictive, personalized, and outcome-focused care.
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Cite This Study
Gräni et al. (2026) conducted a review in Cardiovascular disease. Cardiovascular imaging technologies was evaluated. Advances in artificial intelligence and digital twins are driving the future of cardiovascular imaging toward data-driven predictive, personalized, and outcome-focused care.