Emergency Medicine

Diagnostic accuracy of AI-assisted point-of-care ultrasound for abdominal free fluid detection in FAST trauma assessment: a systematic review and meta-analysis.

STUDY OBJECTIVE: Point-of-care ultrasound (PoCUS) is widely used in trauma care through the Focused Assessment with Sonography for Trauma (FAST) protocol, but its accuracy is highly operator-dependent. Artificial intelligence (AI) may reduce variability and improve reliability. This systematic review and meta-analysis evaluated the diagnostic accuracy of AI-assisted PoCUS for detecting free fluid ...

Strengthening Holistic Nursing Competence Among Emergency Nurses in the Digital Era: The Roles of Clinical Governance, Digital Empathy, and Artificial Intelligence Attitude.

INTRODUCTION: Digital technologies and artificial intelligence are rapidly transforming emergency nursing, raising concerns about how nurses can sustain holistic, person-centered care in highly technologized environments. Organizational conditions such as the clinical governance climate, along with nurses' psychological and technological capacities, may play a decisive role in shaping holistic nur...

Smartphone-Based Pupillometry for Noninvasive Detection of Elevated Intracranial Pressure in Nepali Acute Brain Injury Patients: A Pilot Study.

BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries such as traumatic brain injury (TBI), subarachnoid he...

The association between artificial intelligence anxiety and occupational anxiety among emergency department healthcare workers.

INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care ...

Metabolomics at the Crossroads of Forensic Toxicology and Precision Diagnostics: Analytical Innovations and Translational Opportunities.

Metabolomics is the comprehensive analysis of small-molecule metabolites in living systems and is increasingly being applied in forensic science and h...

Data-driven decision support in hospital resource planning: an artificial intelligence-based model proposal for emergency department demand.

BACKGROUND: The sustainability of service quality in healthcare systems is directly related to accurate resource planning, especially in emergency dep...

Development and Validation of a Diffusion-weighted Imaging-only Deep Learning Model for the Detection of Supratentorial Acute Ischemic Infarcts: A Retrospective Diagnostic Accuracy Study.

BACKGROUND: Acute ischemic stroke is a leading cause of death and long-term disability worldwide, with a disproportionately increasing burden in low- ...

Maturity, Safety, and Equity of AI-Enabled Systems and Triage in Integrated Primary Care.

Artificial intelligence (AI)-enabled systems must simultaneously improve the Quintuple Aim and digital health maturity, including equitable access to ...

On the usage of artificial intelligence for identifying main attributes and predicting neonatal sepsis.

During the neonatal period, newborns are more susceptible to developing conditions and diseases due to their fragility of the transition and adaptatio...

Inflammatory-neurodegenerative crosstalk in pediatric severe traumatic brain injury: a multi-domain plasma proteomic study.

BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterizati...

Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.

BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a co...

Veterinary fracture diagnosis: a deep learning model for dogs long bone fractures.

Bone fractures in dogs are common orthopaedic conditions that require accurate diagnosis and rapid intervention. Traditional radiographic interpretati...

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fracture risk. We explored the potential of a retinal agi...

Development and Validation of an AI-Integrated System for Automated Fracture Detection and Pedicle Puncture Planning in Lumbar Osteoporotic Vertebral Compression Fractures Based on the Nine-Grid Area Division Method.

OBJECTIVE: The clinical application of the Nine-grid Area Division Method for pedicle puncture in L-OVCF is limited by high technical thresholds and l...

From Trauma to Transmission: The Long Shadow of Childhood Abuse on Sexually Transmitted Infections.

Childhood abuse is increasingly recognized as a critical early-life stressor with enduring consequences for adult health. Although prior research has ...

Real-Time Artificial Intelligence Assistance in Neuroendovascular Therapy: Comparative Analysis of Elective and Emergency Procedures.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has emerged as an adjunct in neuroendovascular interventions; however, its clinical utility re...

Transforming Pediatric Care Through AI: Bridging the Digital Divide in Health Informatics.

Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health sys...

Canadian radiology: 2026 update.

Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider sy...

MultiDentNet: a unified deep learning framework for multi-class dental condition screening and preliminary oral lesion triage.

To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification...

What's in a NAM?

The transition away from animal experimentation is gaining momentum across scientific disciplines, driven by technological advancements, ethical imper...