Emergency Medicine

Automated atomic force microscopy analysis using convolutional and recurrent neural networks.

Atomic force microscope (AFM) indentation allows high-resolution spatial characterization of biomech...

A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits.

The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various s...

Primer on large language models: an educational overview for intensivists.

The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...

Knowledge Graph-Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation.

BACKGROUND: Although much progress has been made in artificial intelligence (AI), several challenges...

Artificial intelligence and endoanal ultrasound: pioneering automated differentiation of benign anal and sphincter lesions.

BACKGROUND: Anal injuries, such as lacerations and fissures, are challenging to diagnose because of ...

Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.

Early recognition of septic shock is crucial for improving clinical management and patient outcomes,...

Aryl Organophosphate Esters and Hemostatic Disruption: Identifying Risk through Machine Learning and Experimental Validation.

Organophosphate esters (OPEs) have emerged as a significant environmental concern due to their wides...

Machine Learning Picks Vasopressin Sooner in Septic Shock.

From the Archives-Commentary on "A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma".

A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma.

PURPOSE: To identify predictors of a true scaphoid fracture among patients with radial wrist pain fo...

Adaptive Breast MRI Scanning Using AI.

Background MRI protocols typically involve many imaging sequences and often require too much time. P...

Detection of emergency department patients at risk of dementia through artificial intelligence.

INTRODUCTION: The study aimed to develop and validate the Emergency Department Dementia Algorithm (E...

Bridging innovation to implementation in artificial intelligence fracture detection : a commentary piece.

The deployment of AI in medical imaging, particularly in areas such as fracture detection, represent...

[Geriatric Assessment in the Hospital - An Overview of Clinical Guidelines].

According to forecasts, 27 % of the German population will be aged 65 or over by 2050. Age-associate...

Integrative network and computational toxicology reveal the molecular mechanisms in PFOA-induced spermatogenic disorder.

Perfluorooctanoic acid (PFOA), a widely used industrial chemical, poses significant environmental an...

The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration.

Percutaneous screw fixation technique in pelvic trauma surgery is an extremely challenging operation...

Evaluating large language and large reasoning models as decision support tools in emergency internal medicine.

BACKGROUND: Large Language Models (LLMs) hold promise for clinical decision support, but their real-...

A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses ...

Can Gpt-4o Accurately Diagnose Trauma X-Rays? A Comparative Study with Expert Evaluations.

BACKGROUND: The latest artificial intelligence (AI) model, GPT-4o, introduced by OpenAI, can process...

Exploring the toxicological impact of bisphenol a exposure on psoriasis through network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

Psoriasis is a common immune - mediated skin disease, the pathogenesis of which is not completely el...

MEF-Net: Multi-scale and edge feature fusion network for intracranial hemorrhage segmentation in CT images.

Intracranial Hemorrhage (ICH) refers to cerebral bleeding resulting from ruptured blood vessels with...