A Critical Four-Hour Therapeutic Window Predicts Delayed Encephalopathy Risk After Carbon Monoxide Poisoning: A Multicenter Retrospective Cohort Study.
Critical Four-Hour Window for CO Poisoning: Key Findings on Delayed Encephalopathy Risk 🕒💡
From Passive Sampling to Precision Intervention: A Standardized Radiomics-Driven Workflow for Molecularly Adequate Lung Biopsy.
"New study shows 83.9% molecular adequacy in lung biopsies, improving to 91.2% with standardized procedures! 📊🫁"
Weekly Health & AI Digest – March 23, 2026
Here are the latest breakthroughs in health & AI (March 23, 2026 week) 🔹 Rachel Hope Discusses the Importance of Attitude Shift in Health Prevention Rachel Hope emphasizes the role of attitude in health prevention. The NHS App supports personalized...
Rachel Hope Discusses the Importance of Attitude Shift in Health Prevention
Rachel Hope emphasizes the role of attitude in health prevention. The NHS App supports personalized health services. 📱💪
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.
AI in ICUs: Regulatory complexity rises with functionality. A five-paradigm framework proposed for effective oversight. 🤖🏥
Comment on “Measuring diet intake in adolescents: Relative validation of an artificial intelligence enhanced, image assisted mobile application”.
AI in adolescent diet tracking: Promising validation metrics from a mobile app study. 📱🍏
Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.
Revolutionary vibration sensors using MoS₂ achieve gauge factors of 5300, enhancing health monitoring and robotics. 🩺🤖
Unified Dental Electronic Referral Service to Launch in South West England
Unified dental electronic referral service launching in South West England. 🦷 Improved patient care and streamlined processes ahead. 📅
A disease-agnostic approach to ensemble learning for infectious disease forecasting.
Innovative disease-agnostic ensemble model, epiFFORMA, enhances infectious disease forecasting accuracy without historical data. 📊🔍
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. 📊🦴