Emergency Medicine

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

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Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers

Objective. Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due...

HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading

Osteoporotic vertebral compression fractures (VCFs) are prevalent in the elderly population, typic...

Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care

Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistanc...

UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue

Emergency search and rescue (SAR) operations often require rapid and precise target identification...

Applying Conformal Prediction to a Deep Learning Model for Intracranial Hemorrhage Detection to Improve Trustworthiness.

Purpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH...

Mar 2025 39601654
Machine Learning-Based Rapid Prediction of Torsional Performance of Personalized Peripheral Artery Stent.

The complex mechanical environment of peripheral arteries makes stents with poor torsional performan...

Mar 2025 40099676
A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...

Rapidly Built Medical Crash Cart! Lessons Learned and Impacts on High-Stakes Team Collaboration in the Emergency Room

Designing robots to support high-stakes teamwork in emergency settings presents unique challenges,...

Multi-Target Federated Backdoor Attack Based on Feature Aggregation

Current federated backdoor attacks focus on collaboratively training backdoor triggers, where mult...

Facilitating Emergency Vehicle Passage in Congested Urban Areas Using Multi-agent Deep Reinforcement Learning

Emergency Response Time (ERT) is crucial for urban safety, measuring cities' ability to handle med...

Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare

Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day ...

Deep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.

AIMS: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) b...

Feb 2025 39787045
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology

Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern path...

AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth

Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. ...

Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS Digital Twin

Creating a Digital Twin (DT) for Healthcare Intelligent Transportation Systems (HITS) is a hot res...

Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations

Accurate automated segmentation of tibial plateau fractures (TPF) from computed tomography (CT) re...

Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.

PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help cli...

Feb 2025 39894045
Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables re...

Feb 2025 39898942
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