Emergency Medicine

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

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Showing 2101-2121 of 5,252 articles
Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning.

As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pat...

Clinical Study on Minimally Invasive Liquefaction and Drainage of Hypertensive Putaminal Hemorrhage through Frontal Approach.

 Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...

Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques.

Presence of missing data points in datasets is among main challenges in handling the toxicological d...

Otoscopic diagnosis using computer vision: An automated machine learning approach.

OBJECTIVE: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especi...

Could deep learning in neural networks improve the QSAR models?

Assessing chemical toxicity is a multidisciplinary process, traditionally involving in vivo, in vitr...

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism.

Hunting for chemicals with favorable pharmacological, toxicological, and pharmacokinetic properties ...

Machine learning for mixture toxicity analysis based on high-throughput printing technology.

Analysis on mixture toxicity (Mix-tox) of the multi-chemical space is constantly followed with inter...

Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep l...

Medical Robotics in Bone Fracture Reduction Surgery: A Review.

Since the advantages of precise operation and effective reduction of radiation, robots have become o...

Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.

BACKGROUND AND PURPOSE: Advanced imaging analysis for the prediction of tumor biology and modelling ...

Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in ...

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...

Evolution and Current Applications of Robot-Assisted Fracture Reduction: A Comprehensive Review.

Robots in orthopedic surgery have been developed rapidly for decades and bring significant benefits ...

Daring to be wise: We are black boxes, and artificial intelligence will be the solution.

Emergency physicians seek wisdom through personal resilience, deliberate reasoning, clinical consens...

Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.

BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency depa...

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