Emergency
Every article we have published: research summaries, product thinking and developments in health AI.
Emergency · 81 articles
ER Doctors Would Act on Fake AI Abstracts
Polished writing from AI models tricks acute care physicians into trusting fabricated scientific claims.
Digital Charts Replace Paper in Sussex Emergency Rooms
Replacing paper observation charts with real-time digital tracking in high-pressure emergency departments cuts clinical blind spots before patients deteriorate.
AI Head CT Triaging Cuts ER Delays
Automated imaging triage speeds up emergency room admissions for patients with critical brain updates.
AI Triage Catches Deterioration But Triggers False Alarms
Algorithms spot critically ill emergency patients better than standard triage, but they come with a high operational tax.
Doctors Stop Using ED AI As Shifts Progress
A prospective trial shows that high accuracy cannot save emergency department AI if exhausted doctors stop clicking on it.
Stopping Collapsed Lungs Before the Needle Leaves
A proactive seal for lung biopsies could finally eliminate one of the healthcare system's most expensive diagnostic complications.
Hospital coding misses half of addiction cases
Standard hospital coding misses over half of emergency cases involving drugs, alcohol, and self-harm, but a local AI model can find them.
AI predicts patient paths after emergency room discharge
A new generative model beats traditional machine learning at predicting which discharged emergency patients will return to the hospital.
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.
AI predicts suicide risk from emergency triage
An algorithm can spot patients at risk of suicide within 30 days using only basic emergency room intake data.
AI outperforms emergency doctors in diagnostic tests
A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.
Enhancing the golden hour: classification of traumatic brain injury, severity, and concomitant clinical phenotypes using prehospital continuous physiological data during air transport
By analyzing continuous vital signs in the air, machine learning can identify traumatic brain injuries before the helicopter even lands.
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