Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education

Turkish Journal of Emergency Medicine, Год журнала: 2025, Номер 25(2), С. 67 - 91

Опубликована: Апрель 1, 2025

Artificial intelligence (AI) is increasingly improving the processes such as emergency patient care and medicine education. This scoping review aims to map use performance of AI models in regarding concepts. The findings show that AI-based medical imaging systems provide disease detection with 85%-90% accuracy techniques X-ray computed tomography scans. In addition, AI-supported triage were found be successful correctly classifying low- high-urgency patients. education, large language have provided high rates evaluating exams. However, there are still challenges integration into clinical workflows model generalization capacity. These demonstrate potential updated models, but larger-scale studies needed.

Язык: Английский

Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza

Journal of the American College of Emergency Physicians Open, Год журнала: 2024, Номер 5(2)

Опубликована: Март 18, 2024

Millions of Americans are infected by influenza annually. A minority seek care in the emergency department (ED) and, those, only a limited number experience severe disease or death. ED clinicians must distinguish those at risk for deterioration from who can be safely discharged.

Язык: Английский