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Updated: Aug 5, 2026
09:09
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Next-Generation Cardiovascular Imaging in Precision Medicine: Integrating Functional Imaging, Artificial
Carmine Siniscalchi1, Manuela Basaglia1, Vincenzo Russo2
1Internal Medicine Department, Parma University Hospital, 43125 Parma, Italy.
Diagnostics (Basel, Switzerland)
|July 28, 2026
Summary
Cardiovascular imaging advances offer multidimensional patient assessment beyond anatomy. Integrating imaging with AI and biomarkers enables personalized risk stratification for better cardiovascular disease management.
Area of Science:
- Cardiovascular Medicine
- Medical Imaging Technology
- Artificial Intelligence in Healthcare
Background:
- Cardiovascular and vascular diseases are leading global causes of death.
- Traditional imaging focused on anatomy; modern imaging evaluates function, hemodynamics, and inflammation.
- Technological progress drives a shift toward multidimensional cardiovascular assessment.
Purpose of the Study:
- To review current advances in cardiovascular and vascular imaging.
- To discuss the translational implications of these imaging advancements.
- To highlight future directions for integrating imaging, AI, and precision medicine.
Main Methods:
- Review of recent technological progress in echocardiography, cardiovascular magnetic resonance, computed tomography, nuclear imaging, intravascular imaging, and point-of-care ultrasound.
- Discussion of artificial intelligence, radiomics, and predictive analytics in cardiovascular imaging.
- Integration of imaging findings with biomarkers, clinical scores, and machine learning models.
Main Results:
- Advanced echocardiography improves functional and prognostic assessment in coronary artery disease.
- Cardiac MRI provides unique insights into myocardial fibrosis, perfusion, and hemodynamics.
- CT, hybrid imaging, and intravascular techniques enhance plaque characterization, inflammation assessment, and interventional guidance.
- Point-of-care ultrasound expands access to rapid cardiovascular assessment.
- Integration strategies promise personalized risk stratification for complex cardiovascular conditions.
Conclusions:
- Cardiovascular imaging has evolved to a multidimensional approach, integrating function, hemodynamics, and tissue composition.
- Technological innovations, including AI, are revolutionizing cardiovascular disease diagnosis and risk assessment.
- The future lies in integrating advanced imaging, AI, and precision medicine for personalized patient care.
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