Artificial Intelligence

Comprehensive Review Maps AI Applications Across Emergency Medicine Domains

New comprehensive review identifies proven AI applications across emergency care continuum, from prehospital triage to outcome prediction, while highlighting critical implementation challenges.

AI Model Predicts Patient Agitation Risk in Emergency Departments

Yale School of Medicine researchers have developed an artificial intelligence prediction model that can identify emergency department patients at risk of becoming agitated before symptoms develop, representing a significant advance in proactive emergency care safety.

The study, published in JAMA Network Open and led by Associate Professor Ambrose Wong, analyzed over 3 million emergency department visits across nine hospitals in the northeastern United States between 2015 and 2022. The machine learning model successfully predicts patient agitation risk using 50 key features routinely collected during ED visits.

AI vs. Radiologists: New Study Shows Human Expertise Still Leads in Emergency Brain Hemorrhage Detection

Recent prospective study of 2,153 CT scans reveals radiology residents significantly outperform AI software in detecting brain bleeds, reinforcing the hybrid model of AI-assisted rather than AI-replaced clinical care.

AI in Radiology: Unlocking New Dimensions of Clinical Value

Comprehensive review reveals AI’s transformative potential across the entire radiological workflow, from patient scheduling to diagnosis, while addressing critical implementation challenges.

AI Chatbots Show Promise but Critical Gaps in Emergency Department Triage

New comparative study reveals concerning undertriage rates when testing ChatGPT, Gemini, and Pi against human professionals in emergency department settings.

AI Transforms Emergency Department Radiology: Real-World Impact on Critical Care Workflows

New analysis reveals AI triage systems cutting critical imaging report times by over 50% in emergency departments, with concrete deployment strategies for healthcare systems.

Rethinking AI's Promise: When Technology Intensifies Rather Than Reduces Work

New analysis challenges the assumption that AI reduces workload, revealing how cognitive complexity often increases with AI adoption.