Emergency Medicine

Prediction of femoral shaft fracture healing and clinical decision support through integration of mechano-biological modeling and machine learning.

BACKGROUND AND OBJECTIVES: Current clinical practice in preoperative planning for femoral shaft frac...

Prompt engineering enables open-source large language models to match proprietary models in diagnostic accuracy for annotation of radiology reports.

AIM: This study aimed to test whether open-source large language models (LLMs) can match the diagnos...

Clinical Informatics and Artificial Intelligence: What the Working Emergency Physician Needs to Know.

BACKGROUND: Clinical Informatics is wide-ranging field that engages with nearly every aspect of clin...

Meta-analysis, WGCNA, and machine learning converge on a four-gene biomarker panel for heat stress tolerance in Solanum lycopersicum.

Heat stress severely compromises growth, reproduction, and yield in Solanum lycopersicum, necessitat...

Machine learning-based models using preoperative imaging and clinical data to predict intraoperative rebleeding and functional recovery in intracerebral hemorrhage patients: a multicenter study.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is associated with high mortality and disabil...

Animal Research in Pharmacology: A Legacy or a Last Resort?

Pharmacology has benefited greatly from animal research, which has supported drug discovery, safety ...

Structuring large language models for chemical health risk reasoning in environmental and occupational exposure.

Large language models (LLMs) have revolutionized numerous scientific fields. However, their applicat...

Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity.

Early-stage infectious disease outbreaks impose acute pressure on hospital supply systems, particula...

Enhancing automated fracture detection in paediatric wrist X-rays with paired and unpaired cast suppression methods.

PURPOSE: Casts in follow-up wrist X-rays reduce diagnostic image quality, complicating the assessmen...

Predicting toxicity and bioactivity of the chemical exposome: a case study for the blood exposome database.

Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are dete...

Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...

Operationalising One Health for epidermal parasitic skin diseases: threshold-triggered mass drug administration and a minimal indicator set.

Epidermal parasitic skin diseases (EPSDs)-including scabies, pediculosis, cutaneous leishmaniasis, t...

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other...

Creativity as a core competency in medical education: the art of medicine.

As medical education increasingly prioritises standardisation and algorithmic decision-making, the q...

Machine learning prediction of positive urine cultures in an academic pediatric emergency department (ED).

BACKGROUND: Urinary tract infections (UTIs) are among the most common pediatric infections, but urin...

Reimagining Recovery: How Extended Ambulatory Models and Patient Hotels are Changing the Outpatient Surgical Paradigm.

Ambulatory extended recovery facilities, designed for 1-night stays, provide an alternative care set...

Multi-plane vision transformer for hemorrhage classification using axial and sagittal MRI data.

Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcar...

DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services.

BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions...

A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.

STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of...

Elucidating the mechanism of plasticizers associated with atherosclerosis through network toxicology, bulk RNA sequencing, and single-cell RNA sequencing analysis.

PURPOSE: This study aims to screen and identify potential atherosclerosis (AS) biomarkers associated...

Artificial intelligence and toxicology: Knowledge compared with other medical specialties.