Electrocardiography

Electrocardiograms (ECG) are a primary cardiac diagnostic test that measures the electrical activity in heart to identify overall cardiac function, arrhythmias and areas of ischemia and infarct. Standard 12-lead ECG breaks the 3D structure of the heart into 12 zones, each showing the electrical activity in that specific area of the heart. This narrows down areas where there are issues with coronary artery disease or electrophysiology issues. Many ambulatory heart monitors and consumer-grade ECG monitors use fewer leads so are less specific as to cardiac conditions or location of abnormal heart rhythms, but can show an issue that requires further diagnostic testing or treatment.

AI-powered ECGs detect subtle changes in the heart brought on by COVID-19

The study's authors used more than 34,000 ECGs to train and test their model, publishing their findings in Mayo Clinic Proceedings.

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AI uses ECG, X-ray data to improve treatment of arrhythmic disorders

An international group of researchers developed a deep learning model capable of identifying accessory pathways in patients with Wolff-Parkinson-White syndrome.

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FDA grants breakthrough device designation to AI-powered ECG analysis tool

Tempus, a Chicago-based healthcare technology company, collaborated with Geisinger on the solution.

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Wearable ECG devices detect AFib among older patients, reducing the risk of stroke

The new study, published in JAMA Cardiology, included more than 800 hypertension patients aged 75 years or older. 

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AI predicts new-onset AFib using 12-lead ECGs

The team's deep neural network was trained on more than 1.6 million 12-lead ECGs. 

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FDA clears new AI algorithms for AliveCor's personal ECG solutions

The clearance includes multiple algorithms capable of identifying key findings in a 30-second ECG.

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AI-powered ECGs improve care for high-risk heart patients

The study, published in Circulation: Arrhythmia and Electrophysiology, included data from more than 1,600 patients who presented at the ED with shortness of breath. 

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Wearable necklace can assess ECG data, detect AFib

A new wearable necklace can be used to detect atrial fibrillation (AFib), according to new findings published through the European Society of Cardiology’s EHRA Essentials 4 You platform.

Around the web

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.