Domestic Violence

Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in ...

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to signif...

Do it faster with PICOS: Generative AI-Assisted systematic review screening.

BACKGROUND: Systematic reviews (SRs) require substantial time and human resources, especially during...

Bioinformatics-based screening of genes associated with dilated cardiomyopathy.

BACKGROUND: Due to the lack of appropriate diagnostic biomarkers and intervention targets, the diagn...

Screening and Validation: AI-Aided Discovery of Dipeptidyl Peptidase-4 Inhibitory Peptides from Hydrolyzed Rice Proteins.

Dipeptidyl peptidase-4 (DPP-4) inhibitors play a critical role in the management of type 2 diabetes;...

"Perfusion Assessment of Healthy and Injured Hands Using Video-Based Deep Learning Models".

BACKGROUND: Assessing in-field hand trauma is challenging, and inaccurate perfusion assessment can s...

Transparent reporting of generative artificial intelligence use in systematic reviews.

Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid.

OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...

Digital Technology Prediction of Anger, Aggression, and Violence: Recent Innovations and Methodological Considerations.

Data derived from smartphone and wearable devices, combined with artificial intelligence/machine lea...

Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into t...

ECG Screening in Athletes: A Systematic Review of Sport, Age, and Gender Variations.

BACKGROUND: The electrocardiogram (ECG) screening in athletes is essential due to the unique cardiac...

The risk factors for relapse behavior in individuals with substance use disorders: An interpretable machine learning study.

BACKGROUND: Substance abuse has become a serious public health problem worldwide, and finding effect...

Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study.

BACKGROUND: Neck pain (NP) ranks among the leading causes of years lived with disability worldwide. ...

China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.

Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...

Screening and identification of novel protein markers of early-stage lung cancer and construction and application of screening models.

OBJECTIVE: Molecular biomarkers have the potential to improve the current state of early screening o...

Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma vi...

Pharmacovigilance in the digital age: gaining insight from social media data.

Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...

Ethical implications of artificial intelligence in residency applicant screening.

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.

BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth t...