Emergency
Every article we have published: research summaries, product thinking and developments in health AI.
Emergency · 81 articles
AI spots critically ill children at hospital triage
Standard hospital triage routinely misjudges how fast sick children need a doctor, but a new neural network proves we can catch them...
FDA Clears Penumbra Stroke Clot Removal Device
A delayed regulatory nod puts Boston Scientific’s multi-billion-dollar bet to the test.
AI detects anemia using lip photos
A new deep learning model diagnoses anemia from lip photos far better than experienced emergency room doctors.
NHS Digital Investment: Focus on Effective Delivery
NHS digital investment faces challenges due to delivery issues, not ambition. Effective collaboration and support are essential for success. 📊💻
Support App Assists Over 260 Bystanders of Cardiac Arrests in Essex
Support app RescQ aids over 260 bystanders of cardiac arrests in Essex, offering vital resources and psychological support. 🫀📱
AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.
AI in Clinical Decision Support: Enhancing Outcomes, Addressing Data Challenges 📊🤖
Study Reveals Limitations in AI Medical Triage Systems
Study shows AI medical triage systems may misdirect users in serious cases, raising concerns about emergency care access. ⚠️🩺
Cheshire East’s Neighbourhood Care Model Decreases Emergency Room Visits
Cheshire East's neighbourhood care model reduces emergency room visits by up to 48%. A significant step in community health. 🏥📉
From non-agentic large language models to multi-agent systems in emergency medicine: a scoping review.
Exploring LLMs in emergency medicine: 35 studies reveal gaps in workflow integration and evaluation methods. 📊🚑
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 🕒💡
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. 📊🦴
A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.
AI in Pediatric Emergency: ChatGPT's Feasibility for Medical Histories 📊🤖
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