
AI reads triage notes to spot strokes
A local language model can flag stroke patients directly from emergency room triage notes, bypassing the need for cloud-based data sharing.
Discover the newest research about AI innovations in 🩹 Emergency.

A local language model can flag stroke patients directly from emergency room triage notes, bypassing the need for cloud-based data sharing.

An algorithm can spot patients at risk of suicide within 30 days using only basic emergency room intake data.

A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.

By analyzing continuous vital signs in the air, machine learning can identify traumatic brain injuries before the helicopter even lands.

Standard hospital triage routinely misjudges how fast sick children need a doctor, but a new neural network proves we can catch them at the front door.

A delayed regulatory nod puts Boston Scientific’s multi-billion-dollar bet to the test.

A new deep learning model diagnoses anemia from lip photos far better than experienced emergency room doctors.

NHS digital investment faces challenges due to delivery issues, not ambition. Effective collaboration and support are essential for success. 📊💻

Support app RescQ aids over 260 bystanders of cardiac arrests in Essex, offering vital resources and psychological support. 🫀📱

AI in Clinical Decision Support: Enhancing Outcomes, Addressing Data Challenges 📊🤖