Emergency Medicine

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

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Showing 421-441 of 5,216 articles
Machine Learning-Based CT Radiomics Model to Predict the Risk of Hip Fragility Fracture.

RATIONALE AND OBJECTIVES: This research aimed to develop a combined model based on proximal femur at...

Machine Learning-Enabled Drug-Induced Toxicity Prediction.

Unexpected toxicity has become a significant obstacle to drug candidate development, accounting for ...

Bioinspired Super-Robust Conductive Hydrogels for Machine Learning-Assisted Tactile Perception System.

Conductive hydrogels have attracted significant attention due to exceptional flexibility, electroche...

Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases.

Decision-making in chronic diseases guided by clinical decision support systems that use models incl...

A comparative analysis of trauma-related mortality in South Korea using classification models.

BACKGROUND: Reducing mortality among severe trauma patients requires the establishment of an effecti...

Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classificati...

Synergistic modeling of hemorrhagic dengue fever: Passive immunity dynamics and time-delay neural network analysis.

Dengue fever poses a formidable epidemiological challenge, particularly for vulnerable groups such a...

Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization.

Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence...

Human-centred AI for emergency cardiac care: Evaluating RAPIDx AI with PROLIFERATE_AI.

BACKGROUND: Chest pain diagnosis in emergency care is hindered by overlapping cardiac and non-cardia...

Marigold: a machine learning-based web app for zebrafish pose tracking.

BACKGROUND: High-throughput behavioral analysis is important for drug discovery, toxicological studi...

A pediatric emergency prediction model using natural language process in the pediatric emergency department.

This study developed a predictive model using deep learning (DL) and natural language processing (NL...

Multi-Branch CNN-LSTM Fusion Network-Driven System With BERT Semantic Evaluator for Radiology Reporting in Emergency Head CTs.

The high volume of emergency room patients often necessitates head CT examinations to rule out ische...

Robot-Assisted Endodontic Retreatment: A Case Report with Clinical Considerations.

Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper remov...

Automatic segmentation and volumetric analysis of intracranial hemorrhages in brain CT images.

BACKGROUND: Intracranial hemorrhages (ICH) are life-threatening conditions that require rapid detect...

Evaluating AI performance in nephrology triage and subspecialty referrals.

Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in th...

Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

During winter months, there is increased pressure on health care systems in temperature climates due...

A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.

AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-con...

InterDIA: Interpretable prediction of drug-induced autoimmunity through ensemble machine learning approaches.

Drug-induced autoimmunity (DIA) is a non-IgE immune-related adverse drug reaction that poses substan...

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