Emergency Medicine

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

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Interpretable machine learning model for outcome prediction in patients with aneurysmatic subarachnoid hemorrhage.

BACKGROUND: Aneurysmatic subarachnoid hemorrhage (aSAH) is a critical condition associated with sign...

Jan 2025 39833976
Automatic Vertical Root Fracture Detection on Intraoral Periapical Radiographs With Artificial Intelligence-Based Image Enhancement.

BACKGROUND/AIM: To explore transfer learning (TL) techniques for enhancing vertical root fracture (V...

Jan 2025 39829209
Predicting fall parameters from infant skull fractures using machine learning.

When infants are admitted to the hospital with skull fractures, providers must distinguish between c...

Jan 2025 39826035
Development of a Deep Learning Tool to Support the Assessment of Thyroid Follicular Cell Hypertrophy in the Rat.

Thyroid tissue is sensitive to the effects of endocrine disrupting substances, and this represents a...

Jan 2025 39825517
Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow-up.

OBJECTIVES: For emergency department (ED) patients, lung cancer may be detected early through incide...

Jan 2025 39821298
Factors Associated with Abusive Head Trauma in Young Children Presenting to Emergency Medical Services Using a Large Language Model.

OBJECTIVES: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of pat...

Jan 2025 39803993
PE-GCL: Advancing pesticide ecotoxicity prediction with graph contrastive learning.

Ecotoxicity assessments, which rely on animal testing, face serious challenges, including high costs...

Jan 2025 39827794
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the ident...

Jan 2025 39859435
Machine Learning-Aided Diagnosis Enhances Human Detection of Perilunate Dislocations.

BACKGROUND: Perilunate/lunate injuries are frequently misdiagnosed. We hypothesize that utilization ...

Jan 2025 39815415
Novel Machine-Learning Modeling of Facial Trauma Volume With Regional Event and Weather Data.

OBJECTIVE: Facial trauma volume is difficult to predict accurately. We aim to understand the capacit...

Jan 2025 39810698
Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke.

OBJECTIVE: To develop and validate an explainable machine learning (ML) model predicting the risk of...

Jan 2025 39882362
Graph-based deep learning for predictions on changes in microbiomes and biogas production in anaerobic digestion systems.

Anaerobic digestion (AD), which relies on a complex microbial consortium for efficient biogas genera...

Jan 2025 39826399
Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.

BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly popu...

Jan 2025 39793347
The advantages of lexicon-based sentiment analysis in an age of machine learning.

Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications ac...

Jan 2025 39792884
Developing and validating a machine learning model to predict multidrug-resistant -related septic shock.

BACKGROUND: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global ...

Jan 2025 39867898
Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study.

BACKGROUND AND PURPOSE:  Hand fractures are commonly presented in emergency departments, yet diagnos...

Jan 2025 39786203
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