AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Medscape

When to Test Further When an Exercise ECG Is Inconclusive

BOSTON, MA — A new study has shed light on which low-risk patients who have inconclusive exercise ECG tests might safely avoid additional downstream imaging tests to detect potential CAD [1]. Patients ...
Scientific Research Publishing

Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ()

Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...
EurekAlert!

Mayo researchers create, test AI to improve EKG testing for hypertrophic cardiomyopathy

ROCHESTER, Minn. - An approach based on artificial intelligence (AI) may allow EKGs to be used to screen for hypertrophic cardiomyopathy in the future. With hypertrophic cardiomyopathy, the heart ...
Science Daily

AI can detect low-glucose levels via ECG without fingerprick test

A new technology for detecting low glucose levels via ECG using a noninvasive wearable sensor, which with the latest artificial intelligence can detect hypoglycemic events from raw ECG signals has ...
EurekAlert!

AI can detect low-glucose levels via ECG without fingerprick test

Tracking sugar in the blood is crucial for both healthy individuals and diabetic patients. Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can ...