Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
The Stanford Daily

AI predicts future disease risk using sleep patterns

Stanford Medicine researchers published a report on a new model, dubbed SleepFM, that tackles the links between sleep patterns and overall health.
Medical News Today

AI platform and blood test may better predict diabetes risk

Recent advances in diabetes detection may help to identify risk earlier. In this article, MNT discusses recent studies that ...
The New York Times

Controlling Blood Sugar Cut Heart Disease Risk in Half, Study Says

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...
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 ...
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 ...
AOL

The One Cardio Machine That Works Your Core, Glutes, and Heart All at Once. You’re Not Using It Enough.

"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Whether you want something that’s easy on the joints or to help support your glute gains goals, stair ...
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 ...