Emerging AI Advances in Cardiac Imaging
In a recent video interview, David Ouyang, M.D., shared insights from two recent studies he co-authored on the use of artificial intelligence (AI) to improve initial assessment of left ventricular ejection fraction (LVEF) on echocardiography and ascertain cardiac risks associated with changes in the left ventricle sphericity index seen on magnetic resonance imaging (MRI).
When evaluating an artificial intelligence (AI) model for initial assessment of left ventricular ejection fraction (LVEF) on echocardiograms, David Ouyang, M.D., said he was genuinely surprised that cardiologists had greater confidence in initial AI assessments than those provided by cardiac sonographers with an average of 14.1 years of experience.
In the randomized trial, recently published in Nature, cardiologists revised 27.2 percent of initial LVEF assessments by sonographers in comparison to 16.8 percent of AI assessments.
“We initially thought of the tool as kind of a streamlining tool where it speeds things up. We actually designed the trial as a non-inferior trial. We weren’t expecting AI to be better than sonographers. Hopefully, it would be equivalent,” noted Dr. Ouyang, who is affiliated with the Department of Cardiology at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at the Cedars-Sinai Medical Center in Los Angeles. “We were pleasantly surprised that AI actually was superior. This really speaks to the high level of precision that automation delivers.”
(Editor’s note: For related content, see “Study Finds AI More Effective Than Sonographer Interpretation of Cardiac Function on Echocardiograms,” “Can AI Improve Triage of CT Pulmonary Angiography Exams for Acute PE?” and “AI Platform for Ultrasound Detection of Cardiac Amyloidosis Gets FDA Breakthrough Device Designation.”)
In a recent interview, Dr. Ouyang also discussed another study that employed deep learning segmentation of cardiac magnetic resonance imaging (MRI) to examine how variations in left ventricle sphericity can impact cardiovascular risks. Based on their findings from a large cohort of nearly 39,000 participants from the UK Biobank, Dr. Ouyang and colleagues found that one standard deviation increase in the left ventricle sphericity index led to a 47 percent increased risk for cardiomyopathy and a 20 percent higher risk of atrial fibrillation.
For more insights from Dr, Ouyang, watch the video below.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
