New AI app for facial palsy screening
Computer scientists from Australia and Iraq have developed an AI-based diagnostic tool to detect facial palsy.
They have come up with a detection system for facial palsy featuring a microcomputer, digital camera, and deep learning algorithm.
Based on an entry in the journal BioMedInformatics, researchers from the Middle Technical University in Baghdad and the...
New Parkinson's app uses metronome beats to train gait
A new mobile app for people with Parkinson's Disease helps them walk better using metronome beats.
The gait re-training tool, developed as part of a larger clinical trial for PD research, delivers rhythmic metronomic beats that trigger movement.
Now developed separately as an app called Walking Tall, it now features training sessions on...
Researchers from the faculties of Engineering and IT at Monash University have come up with an AI algorithm that can judge another AI algorithm's annotation or label in a medical scan, mimicking the process of seeking a second opinion.
FINDINGS
They created a dual-view AI system where one part labels medical images while the other judges the quality of the AI-generated labelled scans by...
Engineering and IT researchers from Monash University have combined nanotechnology and AI to create wearable technology for remote health monitoring.
They came up with an ultra-thin wearable patch that is worn on the neck to measure speech, neck movement and touch, as well as breathing and heart rates. It does this using a frequency/amplitude-based neural network called Deep Hybrid-Spectro, which...
Researchers from Monash University's Turner Institute for Brain and Mental Health have developed a mobile app that helps personalise the sleep-wake cycle of hospital shift workers.
HOW IT WORKS
The app called SleepSync entirely tailors a sleep-wake cycle to an individual user by taking into account their calendar for work and personal commitments and daily logging of actual sleep/wake times and...
An international study led by Monash University has done what could be the world's first demonstration of an AI model that can predict the optimal anti-seizure medication for newly diagnosed epilepsy patients.
WHAT IT'S ABOUT
The research team has trained a deep-learning prediction model using clinical information from around 1,800 patients in five health care centres in Australia, Malaysia,...
Latest research integrates artificial intelligence into retinal imaging to detect and monitor eye diseases on a large scale.
The Comprehensive AI Retinal Expert (CARE) system was developed by a team of researchers from four institutions in China: Sun Yat-sen University, Beijing Eaglevision Technology, Beijing Tongren Eye Centre and Capital Medical University, together with the Monash University...
def4.jpg "Person answering their front door and getting a delivery from another person")
