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Using calcium scores to predict heart disease

Warren Buffett suggests all parents do one thing before they die, whether they have 'modest or staggering wealth' Scientists Studied 'SuperAgers' For 25 Years And Found That They All Have This 1 Habit ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Frontiers

Heart disease prediction with a feature-sensitized interpretable framework for the Internet of Medical Things sensors

Introduction: Cardiovascular health is increasingly at risk due to modern lifestyle factors such as obesity, smoking, stress, hypertension, and sedentary behavior. Post-pandemic health practices and ...
Macworld

AirPods Pro 3 tester ‘blown away’ by heart rate sensing accuracy

The first round of AirPods Pro 3 reviews are out, but the one review that stands out to us is the one by DC Rainmaker, a site by a triathlete and adventurer. What’s great about DC Raimaker’s review is ...
Fox News

Dangerous heart conditions detected in seconds with AI stethoscope

The first artificial intelligence (AI) stethoscope has gone beyond listening to a heartbeat. Researchers at Imperial College London and Imperial College Healthcare NHS Trust discovered that an AI ...
news.ucsc

WiFi signals can measure heart rate—no wearables needed

Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
WLRN

'95% accuracy': FIU researchers use artificial intelligence to detect heart disease early

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...
Frontiers

Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach

Introduction: Cardiovascular disease (CVD) is a leading global cause of death, necessitating the development of accurate diagnostic models. This study presents an Optimized Rough Set Theory-Machine ...