Latest AI and machine learning research in emergency medicine for healthcare professionals.
Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their...
Intracranial hemorrhage (ICH) is a critical medical emergency caused by the rupture of cerebral bl...
Objective. Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due...
Osteoporotic vertebral compression fractures (VCFs) are prevalent in the elderly population, typic...
Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistanc...
Emergency search and rescue (SAR) operations often require rapid and precise target identification...
Purpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH...
The complex mechanical environment of peripheral arteries makes stents with poor torsional performan...
Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...
Designing robots to support high-stakes teamwork in emergency settings presents unique challenges,...
Current federated backdoor attacks focus on collaboratively training backdoor triggers, where mult...
Emergency Response Time (ERT) is crucial for urban safety, measuring cities' ability to handle med...
Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day ...
AIMS: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) b...
Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern path...
Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. ...
Creating a Digital Twin (DT) for Healthcare Intelligent Transportation Systems (HITS) is a hot res...
Accurate automated segmentation of tibial plateau fractures (TPF) from computed tomography (CT) re...
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based c...
PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help cli...
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables re...