AI model more accurately predicts cardiac event risk from PET scan data

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

AI tool predicts six-month risks for cancer patients after heart attack

Cancer patients who suffer a heart attack face a dangerous mix of risks, which makes their clinical treatment particularly challenging. As a result, patients with cancer have been systematically ...
Nature

How DeepMind's genome AI could help solve rare disease mysteries

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
IEEE

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Frontiers

Hybrid intelligent systems for liver disease prediction: a demographic-aware machine learning framework

Background: Liver disease remains a major global health burden, often progressing undetected until advanced stages. Traditional diagnostic approaches, while accurate, are invasive, costly, and limited ...
IEEE

Heart Disease Prediction using Optimized Machine Learning Models

Abstract: Heart disease remains the leading cause of mortality worldwide, emphasizing the importance of early prediction, which is often challenging. This study proposes an optimized machine learning ...