Latest AI and machine learning research in emergency medicine for healthcare professionals.
Hunting for chemicals with favorable pharmacological, toxicological, and pharmacokinetic properties ...
Analysis on mixture toxicity (Mix-tox) of the multi-chemical space is constantly followed with inter...
The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative p...
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep l...
Since the advantages of precise operation and effective reduction of radiation, robots have become o...
BACKGROUND AND PURPOSE: Advanced imaging analysis for the prediction of tumor biology and modelling ...
OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in ...
BACKGROUND: Older individuals receiving home assistance are at high risk for emergency visits and un...
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of...
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...
Robots in orthopedic surgery have been developed rapidly for decades and bring significant benefits ...
Emergency physicians seek wisdom through personal resilience, deliberate reasoning, clinical consens...
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency depa...
STUDY OBJECTIVE: The contribution of emergency medicine clinicians' nontechnical skills in providing...
The United States of America is fighting against one of its worst-ever drug crises. Over 900 people ...
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiop...
Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which ...
BACKGROUND: The rapid deterioration observed in the condition of some hospitalized patients can be a...
OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. Internatio...
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial ...
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...