Emergency Medicine

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

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Showing 505-525 of 5,218 articles
Clinical utility of routine postoperative labs in emergency general surgery patients.

BACKGROUND: Morning postoperative labs are often obtained for emergency general surgery (EGS) patien...

A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, ai...

Evaluation of the effect of cell freshness on pyrogen detection using a serum-free monocyte-activation test.

Pyrogens cause shock symptoms when released into the bloodstream. They are classified into two main ...

Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some pat...

Development of a Self-Deploying Extra-Aortic Compression Device for Medium-Term Hemodynamic Stabilization: A Feasibility Study.

Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow ...

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...

Immunohistochemistry-Free Enhanced Histopathology of the Rat Spleen Using Deep Learning.

Enhanced histopathology of the immune system uses a precise, compartment-specific, and semi-quantita...

Evaluation of cerebral blood flow after subarachnoid hemorrhage using near-field coupling and machine learning.

BackgroundBedside continuous monitoring of cerebral blood flow (CBF) has significant implications in...

FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine.

OBJECTIVE: To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S....

Development of Nipple Trauma Evaluation System With Deep Learning.

BACKGROUND: No research has been conducted on the use of deep learning for breastfeeding support.

Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.

BACKGROUND: Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, wi...

Extension of an ICU-based noninvasive model to predict latent shock in the emergency department: an exploratory study.

BACKGROUND: Artificial intelligence (AI) has been widely adopted for the prediction of latent shock ...

Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

PURPOSE: To develop a deep learning system for automatic segmentation of compression fracture verteb...

Advanced Mass-Spectra-Based Machine Learning for Predicting the Toxicity of Traditional Chinese Medicines.

Traditional Chinese medicine (TCM) has been a cornerstone of health care for centuries, valued for i...

Evaluating LLM-based generative AI tools in emergency triage: A comparative study of ChatGPT Plus, Copilot Pro, and triage nurses.

BACKGROUND: The number of emergency department (ED) visits has been on steady increase globally. Art...

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