AIMC Topic: Echocardiography

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Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning.

Ultrasound in medicine & biology
OBJECTIVE: Echocardiography, a critical tool for assessing left atrial (LA) volume, often relies on manual or semi-automated measurements. This study introduces a fully automated, real-time method for measuring LA volume in both 2-D and 3-D imaging, ...

Robot-Assisted Transcranial Doppler Versus Transthoracic Echocardiography for Right to Left Shunt Detection.

Stroke
BACKGROUND: Right to left shunt (RLS), including patent foramen ovale, is a recognized risk factor for stroke. RLS/patent foramen ovale diagnosis is made by transthoracic echocardiography (TTE), which is insensitive, transesophageal echocardiography,...

Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure.

The international journal of cardiovascular imaging
Current noninvasive estimation of right atrial pressure (RAP) by inferior vena cava (IVC) measurement during echocardiography may have significant inter-rater variability due to different levels of observers' experience. Therefore, there is a need to...

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings.

Artificial intelligence in medicine
Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves a manual and qualitative eva...

ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
While multidisciplinary collaboration in echocardiography is not new, machine learning has the potential to further improve it. In this transcript of the ASE 2023 Annual Feigenbaum lecture, advancements in foundation models are discussed, including t...

Automatic Myocardial Contrast Echocardiography Image Quality Assessment Using Deep Learning: Impact on Myocardial Perfusion Evaluation.

Ultrasound in medicine & biology
OBJECTIVE: The image quality of myocardial contrast echocardiography (MCE) is critical for precise myocardial perfusion evaluation but challenging for echocardiographers. Differences in quality may lead to diagnostic heterogeneity. This study was aim...