Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this setting. An urgent need to develop tools that aid providers in recognising violence-related injuries in children exists. Developing a CPA predictive algorithm could improve identification and clinical familiarity with risk factors. We aimed to develop a...
BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (MDD), yet its neurobiological underpinnings and longitudinal treatment effects remain poorly characterized. METHODS: Leveraging graph theory and resting-state fMRI, we analyzed in 343 adolescents with MDD aged 10 - 18 years, including 211 with a history of childhood trauma (MDD-CT) and 106 without ch...
BACKGROUND: Artificial intelligence-based radiomics offers a potential adjunct to the current clinical management of paediatric brain tumours by enabl...
RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic ...
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of stroke, with high mortality and long-term disabili...
CONTEXT: Anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase that plays a crucial role in cellular signaling and is implicated in several c...
BACKGROUND: Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commer...
BACKGROUND: Accurate assessment of burn depth and area are required to guide treatment and inform prognosis. Currently this assessment relies on subje...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have increasingly transformative potential in orthopedic surgery, enhancing precisi...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...
Chest radiography is the most frequently performed imaging examination worldwide, and increasing demand has contributed to reporting delays in many he...
OBJECTIVES: Coronary computed tomography angiography (CCTA) has become a cornerstone in non-invasive CAD diagnosis and risk stratification. To standar...
Algorithms that support screening, triage, and treatment decisions depend on training data drawn from patient populations. Limited access to patient-l...
BACKGROUND: Systematic reviews are essential for evidence-based decision-making, but the screening stage is often labor-intensive and susceptible to h...
The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of b...
Cancer remains one of the leading causes of death worldwide and continues to pose a serious public health challenge. The limited success of many curre...
Falls are a leading cause of injury and mortality among older adults, motivating growing interest in video-based computer vision (CV) fall detection s...
BACKGROUND: Oral medications are commonly used in the treatment of breast cancer (BC), despite high rates of nonadherence. As adherence is fundamental...
OBJECTIVES: To characterize clinical-pathologic tumor features associated with artificial intelligence (AI)-generated risk scores from prior-year scre...
OBJECTIVES: To compare conventional speech recognition (CSR) and a general-purpose large language model (LLM) in radiology reports, focusing on genera...