Emergency Medicine

From stigma to sanctuary: A conceptual framework for M-PODS, a low-cost, AI-powered mental health pod.

A conceptual framework for an AI driven mental health pod (M-PODS), that can help to step care and t...

Benzo[a]pyrene promotes gastric cancer progression via activation of the Correa cascade through modulation of the STAT3-TP53-MMP9 molecular axis.

To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer ...

AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study.

BACKGROUND: Health care organizations have started to implement artificial intelligence-powered ambi...

Deep language model-based early recognition of out-of-hospital cardiac arrest from real-time emergency calls.

We developed a dynamic deep learning model (DyLM-OHCA) for early out-of-hospital cardiac arrest (OHC...

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis.

One in 25 deaths worldwide is related to liver disease, and often with multiple hepatosplenic condit...

Attention-enhanced deep learning model for automated classification of hemorrhagic and ischemic stroke on CT imaging.

BACKGROUND: Stroke is a disease with extremely high mortality and disability rates worldwide. Hemorr...

Correction: Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

Di-(2-ethylhexyl) terephthalate promotes breast cancer progression: Multi-omics integrated experimental validation.

Di-(2-ethylhexyl) terephthalate (DOTP), as an alternative to phthalate plasticizers, has been widely...

Adolescents Experiencing Both Bullying and Childhood Trauma: Longitudinal Patterns, Psychosocial Networks, and Risk Prediction.

Adolescents who experience both bullying at school and maltreatment within families are at heightene...

Rapid Diagnosis of Bacteremia in Febrile Pediatric Oncology Patients via Host-Response Infrared Spectroscopy of Blood and Machine Learning.

Bacteremia is a life-threatening complication and a leading cause of sepsis and septic shock in pati...

Fairness analysis of machine learning predictions of aggression in acute psychiatric care.

Machine learning (ML) is increasingly being developed to support individualized risk assessment and ...

Characterization of the Sequence of Cytopenia after Total-body Irradiation using Unsupervised Machine Learning.

Hematopoietic acute radiation syndrome (H-ARS) elicits multidimensional effects, as total-body irrad...

Hydrocarbon subsidy-stress and divergent reduced iron-manganese thresholds shape microbial resilience in anoxic aquifers.

The co-occurrence of geogenic metal mobilization and anthropogenic hydrocarbon contamination represe...

Integrating multimodal data and deep learning for functional assessment and rehabilitation prediction after cerebral hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) is a leading cause of long-term disability, particularly ...

Explainable machine learning prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage.

Accurate prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage (sI...

Impact of CT calibration curves on radiotherapy planning using diagnostic CT scans and a planning CT supporting DirectDensity reconstruction.

PURPOSE: DirectDensity enables tube voltage-independent, density-calibrated computed tomography (CT)...

Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.

Sudden arrhythmic death syndrome (SADS) is a major cause of sudden cardiac death in young individual...

Fetal and neonatal alloimmune thrombocytopenia (FNAIT): From reactive transfusion to proactive prevention.

Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, ...

Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

Acetaminophen (APAP) overdose is a leading cause of drug-induced liver injury and acute liver failur...

Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.

BACKGROUND: Suicide and self-harm are significant issues globally. Accurate, efficient and comprehen...

Addressing multiple pregnancies in in vitro fertilization-embryo transfer: Current status, challenges, and solutions.

With the rising global incidence of infertility and the growing proportion of infants conceived via ...