BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Tech Xplore

Machine learning helps robots see clearly in total darkness using infrared

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

'Listening in' on the brain's hidden language: Engineered protein detects the faintest incoming signals

Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...
News-Medical.Net

Wearable AI device detects early signs of frailty in older adults

University of Arizona researchers in the Gutruf Lab have developed a comfortable, easy-to-use wearable device that incorporates artificial intelligence to detect subtle warning signs of frailty, ...
News-Medical.Net

Early identification of nutrition risk in ICU patients using artificial intelligence

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
Fox News

USPS worker found dead inside mailing machine in Michigan: 'Deeply saddened by the loss'

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...
Seeking Alpha

Google announces 'Project Suncatcher' with goal to scale machine learning in space

Alphabet-owned Google (GOOG) (GOOGL) on Tuesday said it has begun the foundational work for "Project Suncatcher," the tech giant's latest and most ambitious initiative to scale machine learning in ...
IEEE

Single-channel wearable EEG using low-power Qvar sensor and machine learning for drowsiness detection

Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel EEG system, designed for real-time monitoring of specific brain activity. It is based on the use ...
Scientific Research Publishing

Chirra, V., ReddyUyyala, S. and KishoreKolli, V. (2019) Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.

ABSTRACT: This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from ...
IEEE

Deep Learning-Based Drowsiness Detection System for Driver’s Safety

Abstract: Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National ...