Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...

Using a single 3D deep learning model, researchers from Edith Cowan University (ECU) are able to detect three major causes of road accidents simultaneously – blood alcohol concentration, fatigue and ...

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...

Abstract: Driver drowsiness is a critical factor contributing to road fatalities, with global statistics indicating that approximately 1.19 million lives are lost annually due to road accidents.

Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel electroencephalogram (EEG) system, designed for real-time monitoring of specific brain activity.