Emergency Medicine

From "high AUC" to evidentiary reliability: audit-ready deployment standards for deep-learning rib-fracture detection in postmortem CT.

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 fractures lacks tools capable of quantitatively predicting outcomes across different treatment options, which significantly hinders the implementation of personalized precision treatment. This study aims to develop an integrated fracture healing prediction framework that combines mechano-biological mode...

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 diagnostic accuracy of proprietary models in annotating t...

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 clinical care that is documented in the electronic hea...

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, necessitating the identification of reliable molecular bioma...

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 disability. This study aimed to develop and validate mach...

Variable Treatment Effects of Cranial Surgery in Pediatric Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor outcomes, but evidence surrounding the role of oper...

Profiling of hypoxic and extracellular matrix remodeling markers in biofluids and cerebral tissue after traumatic brain injury: expression and signaling crosstalk of HIF-1α, MMP-9/14 and EPHA2.

Traumatic brain injury (TBI) remains a formidable clinical, neuropathological, and forensic challenge, constituting a leading cause of death as well a...

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

Pharmacology has benefited greatly from animal research, which has supported drug discovery, safety evaluations, and therapeutic developments. However...

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 application in environmental health remains limited, as th...

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, particularly for essential protective materials such as med...

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 assessment of fracture healing. This study developed cast s...

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 detected in blood and have been catalogued in the Bloo...

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 coronary intervention (PCI) and is associated with e...

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, tungiasis and cutaneous larva migrans-affect millio...

Foundations to frontiers: Charting the evolution of healthcare operations management and the patient journey.

PurposeThis study provides a systematic analysis of key literature in healthcare Operations Management (OM), examining its evolution from manufacturin...

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 sedative drugs can cause respiratory depression a...

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

As medical education increasingly prioritises standardisation and algorithmic decision-making, the qualities that define the 'art' of medicine-improvi...

Evolution of artificial intelligence at Hospital Italiano de Buenos Aires: A retrospective review of experience and lessons learned.

BACKGROUND: Hospital Italiano de Buenos Aires (HIBA) has progressively integrated artificial intelligence (AI) technologies into clinical practice ove...

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 urine culture, the diagnostic gold standard, requires ...