Emergency Medicine

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

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Showing 337-357 of 5,216 articles
Deep learning-assisted cellular imaging for evaluating acrylamide toxicity through phenotypic changes.

Acrylamide (AA), a food hazard generated during thermal processing, poses significant safety risks d...

Developing predictive models for ยต opioid receptor binding using machine learning and deep learning techniques.

Opioids exert their analgesic effect by binding to the ยต opioid receptor (MOR), which initiates a do...

Interpretable machine learning models for prolonged Emergency Department wait time prediction.

OBJECTIVE: Prolonged Emergency Department (ED) wait times lead to diminished healthcare quality. Uti...

Artificial intelligence: A key fulcrum for addressing complex environmental health issues.

Environmental health (EH) is a complex and interdisciplinary field dedicated to the examination of e...

Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review.

BACKGROUND: Artificial intelligence (AI), which emulates human intelligence through knowledge-based ...

A network toxicology and machine learning approach to investigate the mechanism of kidney injury from melamine and cyanuric acid co-exposure.

BACKGROUND: Within the past two decades, high-profile cases of melamine (MA) exposure have raised si...

Explainable machine learning models enhance prediction of PFAS bioactivity using quantitative molecular surface analysis-derived representation.

The extensive use of per- and polyfluoroalkyl substances (PFAS) in industrial and consumer products ...

A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification.

Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in t...

Compliance Evaluation with ChatGPT for Diagnosis and Treatment in Patients Brought to the ED with a Preliminary Diagnosis of Stroke.

OBJECTIVES: Chat Generative Pre-trained Transformer (ChatGPT) is a natural language processing produ...

Prediction of acute toxicity of organic contaminants to fish: Model development and a novel approach to identify reactive substructures.

In this study, count-based Morgan fingerprints (CMF) were employed to represent the fundamental chem...

Effects of Dietary Gamma-Aminobutyric Acid (GABA) Inclusion on Acute Temperature Stress Responses in Juvenile Olive Flounder ().

This study investigated the potential of dietary gamma-aminobutyric acid (GABA) inclusion to mitigat...

Artificial intelligence for weight estimation in paediatric emergency care.

OBJECTIVE: To develop and validate a paediatric weight estimation model adapted to the characteristi...

Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchite...

Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.

BACKGROUND: Unplanned and potentially avoidable readmission within 30ย days post discharge is a major...

Artificial intelligence in the interpretation of upper extremity trauma radiographs: a systematic review and meta-analysis.

BACKGROUND: Upper extremity fractures represent a significant reason for emergency room visits; howe...

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