Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification.
AI in ECG: Revolutionizing heart failure screening & risk stratification. Key findings from Dhingra...
Cyber Attack Disrupts NHS Medical Equipment Supply
Cyber attack impacts NHS medical equipment supply, affecting defibrillators and more. ⚠️🩺 Stay informed...
Artificial intelligence-based volumetric measurements for longitudinal clinical assessment of treatment response in high-grade gliomas: Validation across institutional and public datasets.
AI in High-Grade Glioma Treatment: 1648 MRI Sequences Analyzed, 15s Segmentation Time, Moderate Agreement...
Non-Contact Analysis of Cardiopulmonary Coupling via Video Technology
Non-contact video technology analyzes cardiopulmonary coupling, linking heartbeats and breathing for insights on health...
Addressing Vulnerabilities in Ambient Voice Technology
Ambient voice technology in healthcare has vulnerabilities. Yvette Khozam emphasizes the need for secure...
An Integrated Risk Prediction Model for Gout Using Clinical Data, Ultrasound Features, and Deep Learning: A Retrospective Multicenter Study.
Innovative gout risk model combines clinical data, ultrasound, and deep learning, achieving AUC of...
New LLM Accurately Detects Depression in Women Through WhatsApp Voice Messages
New LLM detects depression in women via WhatsApp voice messages with over 91% accuracy....
Personalizing fall fear prevention in knee osteoarthritis: an interpretable prediction framework via IGKSO synchronous optimization and SHAP-based risk stratification.
Personalized fall fear prediction in knee osteoarthritis: 541 patients, 0.8842 F1 score, 0.9451 AUC....
Localizing the epileptogenic zone using deep learning and neuroimaging: A systematic review.
Deep learning enhances epileptogenic zone localization in drug-resistant epilepsy, yet bias and clinical applicability...