Emergency Medicine

AI-Enhanced Electrocardiogram for Detection of Occlusive Myocardial Infarction in High-Risk Non-ST-Segment Elevation Acute Coronary Syndrome.

BACKGROUND: Whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) improves detectio...

Nonlinear dynamical analysis of chaos, fractal complexity, and entropy in EEG signals during music therapy in ICU burn patients.

Music therapy (MT) is known to influence brain dynamics; however, its effects on nonlinear electroen...

A characterisation of one year of enhanced enquiry follow-up from a United Kingdom poison centre.

INTRODUCTION: United Kingdom poison centres handle 40,000 telephone enquiries annually, and of these...

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies man...

Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental Validation.

In recent years, the rapid increase in the production and environmental release of synthetic organic...

Convolutional neural networks detected changes in facial expressions of mice that had conditioned fear stress.

Animal models are essential for studying aversive states such as fear and pain. Facial expressions m...

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an inte...

Comparative evaluation of multimodal large language models for diagnostic accuracy in pediatric electrocardiography: a prospective comparative diagnostic accuracy study.

UNLABELLED: We evaluated three multimodal LLMs, ChatGPT (GPT-5.2), Gemini 3, and Microsoft Copilot, ...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attribute...

PNET-PRISM: a multicenter-validated radiomics nomogram for noninvasive grading of pancreatic neuroendocrine tumors.

BACKGROUND: Accurate preoperative grading of pancreatic neuroendocrine tumors (PNETs) is essential f...

Automated Shoulder Radiograph Quality Review to Support Efficient Workflow in the Emergency Department: The SQUIRE Deep Learning Ensemble.

Suboptimal shoulder radiographs are a persistent challenge, leading to unnecessary radiation exposur...

Comment on "Integrated multi-Omics and network toxicology elucidate the multi-target mechanisms of environmental hormones in driving hepatocellular carcinoma".

Computational toxicology of N-nitrosamine impurities: from molecular structure to regulatory concern.

Since 2018, drug recalls and other regulatory actions related to impurities, particularly N-nitrosam...

The Synovial Fingerprint of Ankle Fractures: A Central Role for WNT Pathway Activation in Posttraumatic Ankle Osteoarthritis.

BACKGROUND: Osteoarthritis (OA) of the ankle is a disabling and understudied disease, most commonly ...

The Silent Author: A Pilot Study Detecting AI-Assisted Writing in Plastic and Reconstructive Surgery Journals.

BACKGROUND: Academic publishing underpins surgical decision-making, but the rapid adoption of genera...

Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.

The rising global burden of infertility continues to increase clinical reliance on assisted reproduc...

Deep learning-based segmentation of aneurysmal subarachnoid hemorrhage: toward accurate and scalable prognostic imaging.

BACKGROUND: Accurate segmentation of aneurysmal cerebral hemorrhages, including subarachnoid hemorrh...

Effect of PET-MPs exposure on the toxicology of PCOS: a multi-platform computational toxicology investigation.

Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that inte...

Convolutional neural networks in paediatric fracture detection: pooled evidence from a systematic review and meta-analysis.

OBJECTIVE: The objective of this review was to systematically evaluate the diagnostic accuracy of ar...

Toxicologic Pathology Forum*: Virtual Staining of Nonclinical Study Slides-A Brief Review of the Current Status and Future Opportunities.

Virtual staining of unstained tissue for histologic assessment is the subject of burgeoning research...

When seconds matter - introducing a surgical salvage strategy by emergency robotic surgery: a review.

Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities duri...