Latest AI and machine learning research in emergency medicine for healthcare professionals.
INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare utilisation, including visits to the emergency department (ED). The ED often serves as a primary societal safety net, providing care for vulnerable populations who may be disproportionately affected by these conditions. In fact, loneliness and socia...
The heterogeneous acquisition, variability of orientation, and subtle lesions continue to challenge the screening of diabetic retinopathy through color fundus photographs. We formulate DR grading as a binary triage task (No-DR vs DR) and propose the All-ViT Hybrid framework, integrating complementary pretrained transformer backbones within a stability-oriented training schedule (head-only warm-up,...
Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...
OBJECTIVE: To develop and validate an interpretable prediction model for delayed diagnosis of benign paroxysmal positional vertigo (BPPV). METHODS: Th...
The assessment of chemical risks is increasingly challenged by insufficient toxicological data available for the large number of marketed substances. ...
The U.S. FDA classifies food recalls into three severity tiers (Class IÂ /Â IIÂ /Â III), a decision that drives public notification urgency and regulatory...
Burn care frequently relies on extensive documentation, including graphic photographic images and detailed clinical records. While these materials are...
INTRODUCTION: Emergency Departments (EDs) in Africa face significant challenges including resource scarcity, overcrowding, and limited infrastructure....
BACKGROUND: Burnout affects nearly half of physicians in the United States, with emergency physicians (EPs) at particularly high risk. Documentation b...
Accurate prediction of drug-target binding and unbinding kinetics and thermodynamics is essential for guiding drug discovery and lead optimization. Ho...
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and system efficiency. Advancements in large language...
The development of soft robotics hinges on the ability to tailor material properties to meet specific application requirements. This study investigate...
BACKGROUND: Cervical cancer is the fourth most common malignant tumor in women globally, with tobacco smoke being a major environmental risk factor. T...
BACKGROUND: Cervical spine fractures require prompt and accurate diagnosis to minimize risk of long-term neurological impairment. Artificial intellige...
OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate predi...
BACKGROUND: Conventional leadership assessments provide structured ratings but offer limited observer-independent metrics. Because leadership and team...
Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early identification of unstable injuries is critical to pr...
OBJECTIVE: To quantify the comprehensive financial impact from implementing a deep learning algorithm for assistive patient triage within a high-volum...
Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflo...
STUDY OBJECTIVE: Emergency physicians experience substantial documentation burden, contributing to physician burnout. Human scribes reduce documentati...