Ultrasound in cardiovascular care: a perspective on preventive, diagnostic, and monitoring applications

Yoram Chaiter1, Daniel Lyon Fink2, Yossy Machluf3

  • 1The Israeli Center for Emerging Technologies in Hospitals and Hospital-Based Health Technology Assessment, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel.

Insights

Ultrasound imaging offers a safe, non-invasive method for early cardiovascular disease detection and monitoring. Advances in artificial intelligence and mobile health platforms are making this technology more accessible for personalized cardiovascular care.

Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Preventive Cardiology

Background:

  • Cardiovascular disease (CVD) is the leading global cause of death, with conventional risk models often missing individuals with subclinical vascular damage.
  • Atherosclerosis, the primary cause of CVD, develops silently, necessitating advanced imaging for early detection.
  • Ultrasound provides a safe, non-invasive, radiation-free method for real-time visualization of vascular structure, function, and hemodynamics.

Purpose of the Study:

  • To reframe ultrasound as a cornerstone technology in preventive and diagnostic vasculature and cardiovascular medicine.
  • To highlight key ultrasound modalities and their applications in early risk stratification and monitoring of atherosclerosis.
  • To discuss the role of emerging technologies like AI and telemedicine in expanding ultrasound's reach.

Main Methods:

  • Review and synthesis of current ultrasound modalities including point-of-care ultrasonography (POCUS), Doppler, Duplex, contrast-enhanced ultrasound (CEUS), elastography, and pulse wave velocity (PWV).
  • Exploration of ultrasound's application across various arterial systems (carotid, aortic, peripheral, coronary, cerebral, renal).
  • Discussion of the impact of artificial intelligence (AI), machine learning (ML), and deep learning (DL) on ultrasound interpretation and accessibility.

Main Results:

  • Ultrasound techniques enable early risk stratification, monitoring of atherosclerotic progression, and evaluation of therapeutic response.
  • Ultrasound enhances patient awareness and engagement, acting as a behavioral catalyst.
  • AI, ML, and DL are automating plaque quantification, improving reproducibility, and enabling portable systems.

Conclusions:

  • Ultrasound is evolving into a frontline technology for cardiovascular disease prevention, diagnosis, and monitoring.
  • Integration with AI-driven interpretation and mobile health platforms enhances personalized and equitable cardiovascular care.
  • Standardized protocols, training, and ethical oversight are crucial for widespread and equitable adoption.

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