Emergency Medicine

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

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Showing 3067-3087 of 4,991 articles
Effects of chronic exposure to biomass pollutants on cardiorespiratory responses and the occurrence of exercise-induced bronchoconstriction in healthy men.

Exposure to charcoal biomass (CB) pollutants affects the cardiorespiratory system. We assessed cardi...

May 2025 40346027
Artificial Intelligence in Spine Imaging: A Paradigm Shift in Diagnosis and Care.

Recent advancements in artificial intelligence (AI) can significantly improve radiologists' workflow...

May 2025 40287253
Predicting Agitation Events in the Emergency Department Through Artificial Intelligence.

IMPORTANCE: Agitation events are increasing in emergency departments (EDs), exacerbating safety risk...

May 2025 40332935
Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud

This study introduces a cutting-edge architecture developed for the NewbornTime project, which use...

Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding

Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by exam...

AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How

Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the e...

Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases

Large Language Models (LLMs) have shown promise in clinical decision support, yet their applicatio...

ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images

Hip fractures represent a major health concern, particularly among the elderly, often leading decr...

Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects

Heterogeneous treatment effect estimation in high-stakes applications demands models that simultan...

"Can't believe I'm crying over an anime girl": Public Parasocial Grieving and Coping Towards VTuber Graduation and Termination

Despite the significant increase in popularity of Virtual YouTubers (VTubers), research on the uni...

Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations

The advancement of AI systems for mental health support is hindered by limited access to therapeut...

Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media

Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkille...

Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews

Many existing digital triage systems are questionnaire-based, guiding patients to appropriate care...

A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images

Pelvic fractures, often caused by high-impact trauma, frequently require surgical intervention. Im...

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records

The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...

DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization

Natural disasters increasingly threaten communities worldwide, creating an urgent need for rapid, ...

Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization

Overcrowding in emergency departments (ED) is a persistent problem exacerbated by population growt...

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

The fusion of Large Language Models (LLMs) with recommender systems (RecSys) has dramatically adva...

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration

All-in-one image restoration, addressing diverse degradation types with a unified model, presents ...

Dose-finding design based on level set estimation in phase I cancer clinical trials

The primary objective of phase I cancer clinical trials is to evaluate the safety of a new experim...

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