Non-Contact Analysis of Cardiopulmonary Coupling via Video Technology
Non-contact video technology analyzes cardiopulmonary coupling, linking heartbeats and breathing for insights on health and sleep quality. 🫀💤
Addressing Vulnerabilities in Ambient Voice Technology
Ambient voice technology in healthcare has vulnerabilities. Yvette Khozam emphasizes the need for secure clinical notes. 🔒🩺
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 0.904! 📊🦵
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. Key risk factors identified! 📊👩⚕️
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 remain concerns. 📊🧠
Blood-Based Epigenetic Markers Enhance Risk Assessment for Prediabetes
Blood tests may reveal epigenetic markers for prediabetes risk. AI aids in early identification of potential complications. 🩸🔍
Evolutionary-Based Deep Learning Network Model using Adaptive Mixing Differential Evolution and Application in Acute Pulmonary Embolism.
Revolutionary deep learning model predicts acute pulmonary embolism with 93.76% accuracy! 📊💡