Latest AI and machine learning research in domestic violence for healthcare professionals.
Human rights research increasingly employs computational text analysis, but existing datasets provide either document-level aggregations or event-level extractions from news sources, limiting fine-grained analysis of primary organizational reports. We present the Human Rights Violation Reporting Dataset, a comprehensive paragraph-level corpus comprising reports from Amnesty International, Human Ri...
BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencing depressive symptoms is higher in late adulthood, older adults are more reluctant to visit a clinic due to the stigma surrounding mental health issues, and many remain undiagnosed and untreated. Digital phenotyping has emerged as a promising approac...
Population-based diabetic retinopathy (DR) screening requires diagnostic strategies that optimize clinical utility by balancing missed disease against...
Metabolomics is the comprehensive analysis of small-molecule metabolites in living systems and is increasingly being applied in forensic science and h...
BACKGROUND AND OBJECTIVES: Transparent and complete reporting in scientific papers is important for interpretation of study results and for downstream...
INTRODUCTION: Quality management systems are essential in clinical laboratories to ensure optimal operational output. However, report generation still...
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to pred...
BACKGROUND: Artificial intelligence (AI), including large language models (LLMs), is increasingly integrated into systematic review (SR) workflows. AI...
BACKGROUND: Echocardiography is a fundamental imaging modality for the diagnosis of heart disease (HD), but its interpretation remains operator-depend...
BACKGROUND: Reperfusion therapy, including thrombolysis and thrombectomy, is crucial for ischaemic stroke treatment. However, patient outcomes often r...
BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterizati...
Purpose To evaluate the performance of an artificial intelligence (AI) model for digital breast tomosynthesis (DBT) with and without prior screening e...
To systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models in periapical radiography for detection, classification, and...
BACKGROUND: Major depressive disorder (MDD) affects approximately 1 in 6 adults during their lifetime, yet antidepressant selection relies predominant...
BACKGROUND: Older adults facing social or structural marginalization for reasons such as lower literacy, digital exclusion, financial constraints, res...
INTRODUCTION: Artificial intelligence (AI) and digital pathology have the potential to augment liver biopsy interpretation in MAFLD in clinical practi...
BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death...
CONTEXT: Drug-resistant epilepsy (DRE) remains a major therapeutic challenge, affecting millions of patients globally who do not respond to convention...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...