Emergency Medicine

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

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Showing 1261-1281 of 4,970 articles
Interpretable machine learning for predicting sepsis risk in emergency triage patients.

The study aimed to develop and validate a sepsis prediction model using structured electronic medica...

Jan 2025 39762406
Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study.

INTRODUCTION: Overcrowding in emergency departments (ED) is a major public health issue, leading to ...

Jan 2025 39762754
Novel transfer learning based bone fracture detection using radiographic images.

A bone fracture is a medical condition characterized by a partial or complete break in the continuit...

Jan 2025 39754038
From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR-FTIR and Machine Learning.

Human nails have recently become a sample of interest for toxicological purposes. Multiple studies h...

Jan 2025 39797018
Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation.

Carotid plaques-the buildup of cholesterol, calcium, cellular debris, and fibrous tissues in carotid...

Jan 2025 39747244
Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes.

Sepsis, characterized as a systemic inflammatory response triggered by pathogen invasion, represents...

Jan 2025 39747316
Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early d...

Jan 2025 38920319
Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers...

Dec 2024 39742656
Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

OBJECTIVE: Trauma resuscitation is the initial evaluation and management of injured patients in the ...

Dec 2024 39746431
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study.

BACKGROUND: Hospitals use triage systems to prioritize the needs of patients within available resour...

Dec 2024 39451101
Clinical utility of routine postoperative labs in emergency general surgery patients.

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

Dec 2024 39840256
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...

Dec 2024 39736589
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 ...

Dec 2024 39775542
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...

Dec 2024 39732765
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 ...

Dec 2024 39731354
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system.

BACKGROUND: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complain...

Dec 2024 39729465
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 ...

Dec 2024 40190432
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