Morning Overview on MSN

An AI blood test can flag six heart threats up to 15 years early

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

AI-ECG Models Detect Structural Heart Disease, Identify At-Risk Patients

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

Hybrid AI model cuts financial forecasting error across stocks and crypto

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

First AI agent and risk prediction model for precision diabetes management

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

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

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 ...
Medscape

Advanced Machine Learning Model Predicts Onset of Epilepsy and Depression

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