Researchers at the University of Hong Kong’s medical school have built an AI system that reads a single blood sample and ...

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Abstract: The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current ...

Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...

We’ve all been to the doctor’s office and felt like we left with more questions than answers, or scrolled past a video on social media packed with big claims about health topics that don’t quite add ...