Child’s heart condition brings SL Tamil family to TN’s shores- The New Indian Express
By Express News Service MADURAI: Driven by the need to access healthcare for their five-year-old child with a heart condition,...
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Clinical smart watch finds success at identifying atrial fibrillation
BYLINE: Noah Fromson Newswise — As the use of wearable technology grows, smart watches are marketed across the globe to...
How hospital with fake doctors thrived in the heart of Delhi | Latest News Delhi
On a balmy November afternoon, the lane in Greater Kailash’s E block is like any other in the upscale south...
AI stethoscope rolled out to 100 GP clinics to help diagnose heart failure | Imperial News
GP clinics in London and Wales will receive an AI-powered tool as part of a trial to help improve the...
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
Recognizing the need for predicting in-hospital cardiac arrest in critically ill patients, we developed and validated an ML-based prediction model...
Access remains the most serious barrier to cardiac rehabilitation
Philadelphia, November 28, 2023 – Noted experts in cardiovascular rehabilitation attending the Third Jim Pattison-Mazankowski Alberta Heart Institute Cardiac Rehabilitation Symposium...
Radiation therapy could improve cardiac function in heart failure
Cardiologists and radiation oncologists at Washington University School of Medicine in St. Louis pioneered the use of radiation therapy -;...
In Cardiology, AI Enables Me to Deploy Therapy Faster, and Can Make the Difference Between Life and Death
As a cardiologist, I see this kind of scenario play out on a daily basis. A patient comes in for...
Getting Test Results Quickly by Phone Call or Appointment
If you've recently had a medical test, such as blood work, you may wonder when to expect a call from...
New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various...