Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

5,216 articles
Stay Ahead - Weekly Emergency Medicine research updates
Subscribe
Browse Specialties
Subcategories: Emergency Medicine
Showing 64-84 of 5,216 articles
Artificial intelligence (AI) in New Psychoactive Substances (NPS) analysis: state-of-art and future perspectives.

Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...

Quantifying tolerances or maximum residue limits of pesticide in food commodities via deep neural networks.

BACKGROUND: Quantifying tolerances or legal maximum residue limits (MRLs) of pesticide in/on food co...

Integrated evaluation and optimization of acid fracturing effectiveness in carbonate reservoirs: Experimental insights and field validation.

The development of carbonate reservoirs is confronted with significant challenges, including pronoun...

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP.

BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), chara...

An efficient deep learning based approach for automated identification of cervical vertebrae fracture as a clinical support aid.

Cervical vertebrae fractures pose a significant risk to a patient's health. The accurate diagnosis a...

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. Thi...

Mechanical performance dataset for alloy with applications at low temperatures.

Modern technologies such as liquid fuels (hydrogen, oxygen), superconductivity, and quantum technolo...

Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department.

Emergency department (ED) overcrowding has become a critical issue in hospital management, leading t...

Evolving role of point-of-care ultrasound in prehospital emergency care: a narrative review.

Point-of-care ultrasound is an emerging technology in prehospital emergency care, covering a wide ra...

Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study.

BACKGROUND: The current Surviving Sepsis Campaign (SSC) guidelines provide recommendations on timing...

Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability.

OBJECTIVES: Timely intervention in shock is vital, as delays over one hour greatly increase mortalit...

The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.

OBJECTIVE: To study the association between cerebral small vessel diseases (CSVD) and unfavorable he...

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the genera...

Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

Trauma has become a major cause of increased morbidity and mortality worldwide. In emergency respons...

Current state of AI for shockwave lithotripsy: a systematic review from YAU and EAU endourology.

PURPOSE: To consolidate the current evidence of artificial intelligence (AI) for management of nephr...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

Human and animal models for studying hemorrhagic shock.

BACKGROUND: Studying the physiological response to severe hemorrhage remains challenging in real-wor...

Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.

Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracereb...

Browse Specialties