Latest AI and machine learning research in emergency medicine for healthcare professionals.
Fulminant myocarditis (FM) is a rare but life-threatening pediatric condition that rapidly progresse...
Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosis is complic...
Access to trustworthy artificial intelligence (AI) models for clinical applications like emergency c...
Hospitals are increasingly adopting artificial intelligence (AI) tools in clinical care. However, th...
The use of generative large language models (LLMs) with electronic health record (EHR) data is rapid...
Missing data is a frequent limitation of database research. Application of machine learning-based mo...
Trauma remains a leading cause of morbidity and mortality in part due to secondary organ injury and ...
To evaluate and compare the real-time Sepsis risk Artificial intelligence algorithm For Emergency de...
Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally....
Intracranial hemorrhage (ICH), whether spontaneous or traumatic, is a neurological emergency with hi...
Artificial intelligence (AI) is increasingly used to support clinical decision-making, particularly ...
Despite policy support, inappropriate use of emergency contraception (EC) in Ethiopia contributes to...
This study explores clinician understanding and perception at site lead level towards machine learni...
Opioid use disorder (OUD) is a chronic condition in which an individual engages in the persistent us...
To determine the impact of the temperature parameter on GPT-4o’s diagnostic accuracy when evaluating...
There is great potential for artificial Intelligence (AI) and machine learning (ML) to support decis...
Stroke care generates vast free-text records that slow chart review and hamper data reuse. Large lan...
Preterm birth, defined as birth occurring before 37 weeks of gestation, poses a significant and endu...
Emergency department (ED) encounters represent valuable opportunities to initiate evidence-based tre...
Adequate self-harm surveillance is a key part of suicide prevention efforts. Our prior work has demo...
Burn wound assessment remains complex, with visual accuracy often below 50% among non-specialists. C...