Spotlight on early detection of 3 heart diseases using ECG-AI

Too often, the first sign of cardiovascular disease may be a major event like a heart attack, stroke or cardiac arrest. Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century — the electrocardiogram (ECG).

Cedars-Sinai Uses AI to Identify People With Abnormal Heart Rhythms

Investigators from the Smidt Heart Institute at Cedars-Sinai found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms.

Heart Checkups Advised for Kids Who Play Sports

Key Takeaways:Sudden cardiac arrest is a leading cause of death among young athletes.Pre-participation heart screenings are advised for athletes ages 12 and above.Cardiac tests can detect 99% of abnormalities.Heart defects don’t prohibit kids from playing sports.The fact that sudden cardiac arrest is a leading cause of death in young athletes seems illogical, provoking an obvious question: “That’s the point,” says Children’s Hospital Los Angeles cardiologist Paul Kantor, MBBCh, MSc, FRCPC.

Chula Faculty of Medicine Released Research Results that “Wang Nam Yen” Thai Herbal Tea Can Stimulate Lactation in Mothers after Childbirth Similar to Modern Medicine

Chula Faculty of Medicine, in collaboration with the Department of Thai Traditional and Alternative Medicine, has released the results of their research on “Wang Nam Yen” herbal tea formula to stimulate lactation in mothers after childbirth, especially those who have had a caesarean delivery, to solve their problem of scarce breast milk. The herbal tea yielded as good results as modern medicine.  The team aims at expanding to commercial production and export. 

Novel Wearable Belt with Sensors Accurately Monitors Heart Failure 24/7

There is a critical need for non-invasive solutions to monitor heart failure progression around the clock. This novel wearable device is based on sensors embedded in a lightweight belt that monitors thoracic impedance, electrocardiogram (ECG), heart rate and motion activity detection. The device was tested in different conditions including sitting, standing, lying down and walking. Findings showed that all of sensors kept track of the changes for all of the different conditions.

AI-guided screening uses ECG data to detect a hidden risk factor for stroke

An AI-guided targeted screening strategy is effective in detecting new cases of atrial fibrillation that would not have come to attention in routine clinical care.
This strategy could reduce the number of undiagnosed cases of atrial fibrillation, and prevent stroke and death in millions of patients across the globe.

Shrinking Waveforms on Electrocardiograms Predict Worsening Health and Death of Hospitalized COVID-19 and Influenza Patients

Spotting changes in the heart’s electrical activity may prompt more-aggressive treatment and monitoring.

Baby detector software embedded in digital camera rivals ECG

Facial recognition is now common in adults, but University of South Australia researchers have developed software that can reliably detect a premature baby’s face in an incubator and remotely monitor its heart and breathing rates, rivalling ECG machines and even outperforming them. This is the first step in using non-contact monitoring in neonatal wards, avoiding skin tearing and potential infections from adhesive pads.x

Mayo Clinic research yields breakthrough in mobile determination of QT prolongation

Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death. This research has yielded a breakthrough in determining the health of the electrical recharging system in a patient’s heart. The researchers determined that a smartphone-enabled mobile EKG device can rapidly and accurately determine a patient’s QTc, thereby identifying patients at risk of sudden cardiac death from congenital long QT syndrome (LQTS) or drug-induced QT prolongation.

Morristown Medical Center’s Dr. Stephen Winters Discusses What Everyone Should Know About Atrial Fibrillation

September is National Atrial Fibrillation Month, and Stephen L. Winters, MD, director of the Cardiac Rhythm Management Program, Gagnon Cardiovascular Institute, Atlantic Health System’s Morristown Medical Center, wants the public to know some surprising facts about this increasingly common heart condition.

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

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 walls become thick and may interfere with the heart’s ability to function properly. The disease also predisposes some patients to potentially fatal abnormal rhythms. Current EKG technology has limited diagnostic yield for this disease.