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.
KLiP: A neural network-based surveillance tool for early identification of listening difficulties in children aged 3-6 years.
Neural network tool KLiP identifies listening issues in kids 3-6, achieving 90% sensitivity &...
Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.
Exploring AI's Role in Medical Simulation Debriefings: Insights from 41 Participants and 26 Reports...
Evaro Secures £18 Million to Expand Digital Healthcare Services
Evaro secures £18 million to enhance digital healthcare services, aiming to improve access and...
A Novel Integrative Framework for Depression: Combining Network Pharmacology, Artificial Intelligence, and Multi-Omics with a Focus on the Microbiota-Gut-Brain Axis.
Exploring AI and Multi-Omics in Depression: A Comprehensive Framework for Precision Psychiatry 🧠🔬
Bacterial fructan-metabolizing enzymes: modular architecture and biotechnological potential.
Bacterial fructan enzymes show diverse structures and catalytic efficiencies, crucial for biotechnological applications. 🦠🔬
Expansion of Universal Care Plan Enhances Care for London Residents
Expansion of Universal Care Plan improves personalized care for over 96,000 Londoners. 📈👩⚕️ Enhanced...
Application of artificial intelligence in postoperative orthopedic rehabilitation: a scoping review.
AI in Postoperative Orthopedic Rehab: 38 studies reveal predictive use, gaps in intervention. Future...
Mini- and Micro-Invasive Approaches in Cardiac Surgery: Current Techniques, Outcomes, and Future Perspectives.
Mini- and micro-invasive cardiac surgery: reduced trauma, faster recovery, and comparable outcomes. Key advancements...
Multi-Scale Adaptive Temporal Network for Parkinson’s Motor Symptom Fluctuation Detection Using Coarsened 2D Skeleton Pose Data.
Revolutionary deep learning framework achieves 99.63% accuracy in monitoring Parkinson's motor symptoms using 2D...