Emergency
Every article we have published: research summaries, product thinking and developments in health AI.
Emergency · 81 articles
Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. 🤖🩻
Hampshire Hospitals Embrace Digital Transformation with Miya Emergency
Hampshire Hospitals digitize emergency care with Miya Emergency, enhancing efficiency and patient workflow. 🏥💻
Government Unveils £1.5 Billion Initiative to Alleviate NHS Elective Waiting Lists
Government allocates £1.5 billion to tackle NHS waiting lists, aiming for two million extra appointments annually. 🏥💰
South Korea Launches Major AI-Driven Emergency Healthcare Initiatives
South Korea initiates AI-driven emergency healthcare projects, enhancing patient management and early cancer screening. 🚑💡
AI Imaging Tools Revolutionizing Patient Care in Health Systems
AI imaging tools enhance patient care, improving follow-up rates and outcomes in health systems. 🤖📈
ChatGPT’s Overprescribing Tendencies in Emergency Care: A Study Analysis
ChatGPT may overprescribe in emergency care, suggesting unnecessary tests and treatments. Caution is advised for clinicians. ⚠️💉
Siloam Hospitals Enhances AI Integration Through New Partnerships
Siloam Hospitals partners with Philips to enhance AI in healthcare. 🤖📈 Focus areas include radiology, telemedicine, and training.
Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma.
Machine learning improves prehospital trauma triage, enhancing accuracy in predicting severe injuries. 🤖🚑 Read our review of the study.
Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.
New research highlights a predictive model using MRI to assess uterine fibroid growth rates. 📈🩻 Promising clinical implications ahead.
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