AI body composition measurements can predict cardiometabolic risk

Adiposity—or the accumulation of excess fat in the body—is a known driver of cardiometabolic diseases such as heart disease, ...
Medscape

AI Analysis of Mammograms May Predict Heart Disease Risk in Women

A key advantage of a newly developed deep learning model based on mammogram images is that it doesn’t require additional history or medical record data, which could help boost uptake.
Endovascular Today

Artificial Intelligence to Predict Outcomes in Peripheral Artery Disease

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.
Morning Overview on MSN

Wearables flag early heart failure via AI pattern recognition

Wearable technology has seamlessly integrated into our everyday lives, offering convenience and critical health insights.
IEEE

Heart Disease Prediction using Hybrid Machine Learning with ECG Dataset for Healthcare-IOT Application

Abstract: Heart-disease is one of the leading cause of death around the world, precaution is only if early detection. This research focuses on the development of a heart disease prediction system ...
IEEE

Survey of Heart Disease Prediction Models using Machine Learning and Deep Learning Techniques

Abstract: heart disease remains the leading cause of mortality worldwide, accounting for millions of deaths annually. Despite medical advancements, the early detection and accurate prediction of ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
C&EN

Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning

Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States ...
TechCrunch

AirPods Pro 3 arrive with heart-rate sensing and live translation using Apple Intelligence

Apple debuted the third-generation AirPods Pro at the “Awe-dropping” event on Tuesday, featuring heart-rate tracking, improved audio, and a smaller, more interactive charging case. It’s been three ...
Frontiers

Structure-based prediction of SARS-CoV-2 variant properties using machine learning on mutational neighborhoods

This dataset presents a structure-enriched resource of theoretical and empirical SARS-CoV-2 spike receptor-binding domain (RBD) variants, developed under the STAYAHEAD project for pandemic ...
New York Post

AI stethoscope can detect dangerous heart conditions in seconds

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 ...