
NHS Implements AI to Identify Frequent Emergency Service Users
NHS uses AI to identify frequent A&E users, providing targeted support to improve care and reduce emergency visits. π₯π€
Discover the newest research about AI innovations in π©Ή Emergency.

NHS uses AI to identify frequent A&E users, providing targeted support to improve care and reduce emergency visits. π₯π€

Philips and Mayo Clinic collaborate to improve cardiac MRI using AI, enhancing efficiency and patient experience. π«π€

A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. π€π©»

Hampshire Hospitals digitize emergency care with Miya Emergency, enhancing efficiency and patient workflow. π₯π»

Government allocates Β£1.5 billion to tackle NHS waiting lists, aiming for two million extra appointments annually. π₯π°

South Korea initiates AI-driven emergency healthcare projects, enhancing patient management and early cancer screening. ππ‘

AI imaging tools enhance patient care, improving follow-up rates and outcomes in health systems. π€π

ChatGPT may overprescribe in emergency care, suggesting unnecessary tests and treatments. Caution is advised for clinicians. β οΈπ

Siloam Hospitals partners with Philips to enhance AI in healthcare. π€π Focus areas include radiology, telemedicine, and training.

Machine learning improves prehospital trauma triage, enhancing accuracy in predicting severe injuries. π€π Read our review of the study.