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Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion, evaluates...

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Workflow and Framework for Collecting and Implementing Point-of-Care Ultrasound Data in the Management of Heart Failure Patients
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Artificial Intelligence-Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study.

Lior Fisher1, Michael Fiman2, Yuval Yarkoni1

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Artificial intelligence (AI) enhanced focused cardiac ultrasound (FoCUS) aids non-cardiologists in identifying significant cardiac findings. This AI-guided tool can lead to new diagnoses, treatment changes, and procedures in acute care settings.

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Focused cardiac ultrasound (FoCUS) is increasingly used by non-cardiologists.
  • Integrating artificial intelligence (AI) may enhance the diagnostic capabilities of handheld ultrasound devices.

Purpose of the Study:

  • To assess the clinical utility of AI-enhanced FoCUS performed by non-cardiologist physicians.
  • To determine if AI-guided FoCUS impacts diagnoses, treatment modifications, or procedures in clinical care.

Main Methods:

  • A prospective, single-arm study involving 660 adult patients in emergency or internal medicine settings.
  • Handheld ultrasound devices with AI algorithms analyzed cardiac function, valvular disease, and other parameters.
  • Physicians received training and performed AI-guided FoCUS evaluations.

Main Results:

  • AI-enhanced FoCUS identified clinically relevant cardiac findings in 29% of patients.
  • New diagnoses included valvular abnormalities and reduced left ventricular function.
  • Treatment was modified in 7% of patients, and 1.4% underwent procedures.

Conclusions:

  • AI-enhanced FoCUS provides valuable clinical information for non-cardiology practitioners.
  • Integration into routine workflows can influence diagnostic assessment and patient management.
  • The study highlights the potential of AI to augment point-of-care cardiac ultrasound.