Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Traumatic injuries are a leading cause of morbidity and mortality globally, with a dispr...
BACKGROUND: Recent research has revealed the potential value of machine learning (ML) models in impr...
BACKGROUND: Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in ...
OBJECTIVES: To develop a machine learning-based prediction model using clinical data from the first ...
This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...
BACKGROUND: Multifaceted factors play a crucial role in the prevention and treatment of metabolic dy...
BACKGROUND: Many chemical releases are first noticed by community members, but reporting these conce...
Bioprocessing has been transitioning from batch to continuous processes. As a result, a considerable...
When infants are admitted to the hospital with skull fractures, providers must distinguish between c...
OBJECTIVES: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of pat...
High-performance strain and corresponding fermentation process are essential for achieving efficient...
BACKGROUND: Breast cancer screening plays a pivotal role in early detection and subsequent effective...
OBJECTIVE: Facial trauma volume is difficult to predict accurately. We aim to understand the capacit...
Diagnosing Alzheimer's disease (AD) through pathological markers is typically costly and invasive. T...
BACKGROUND: The pathophysiology of obstructive sleep apnea (OSA) and diabetes mellitus (DM) is still...
Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. ...
Artificial intelligence (AI) has emerged as a transformative tool in breast cancer screening, with t...
Activated sludge enriches vast amounts of micropollutants (MPs) when wastewater is treated, posing p...
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...
Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicr...
Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer ...