Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging evidence indicates shared microglial alterations in PTSD and depression, suggesting it may represent a common pathological substrate. However, the underlying neuroimmune mechanisms remain unclear. METHODS: PTSD- and depression-like behaviors were indu...
Accurate longitudinal nodule matching is a critical technical prerequisite for automated growth rate (volume doubling time) assessment in lung cancer screening. This study evaluated an artificial intelligence (AI) pulmonary nodule analysis system in all 361 UK Lung Cancer Screening (UKLS) trial participants who underwent a 3-month follow-up low-dose computed tomography (LDCT) scan. The pulmonary A...
Potentially toxic elements (PTEs) in soils pose persistent risks to ecosystems, groundwater, and food systems, creating a need for reliable spatial as...
IMPORTANCE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a treatable cause of heart failure, but diagnosis is often delayed. Accessible tools to ...
Molecular docking is a critical step in drug development, enabling the virtual screening of compound libraries to identify potential ligands for speci...
OBJECTIVE: This study aimed to identify plasma protein biomarkers associated with the presence and prognosis of intracerebral hemorrhage (ICH) in youn...
OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...
BACKGROUND: Machine learning (ML) has emerged as a promising tool for predicting diabetic kidney disease (DKD), yet the performance and clinical utili...
BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...
Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation i...
BACKGROUND: Nepal offers a distinctive LMIC setting for evaluating AI-health adoption due to its difficult geography, specialist shortage, high case b...
Accurate symptom-to-disease classification and clinically-grounded treatment recommendations remain challenging, particularly in heterogeneous patient...
OBJECTIVES: To evaluate an artificial intelligence (AI) algorithm on three different mammography devices and assess screening performance using genera...
BACKGROUND: AI is increasingly being integrated into cancer screening, treatment, and patient care. However, AI adoption across cancer centers varies,...
BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementa...
BACKGROUND: Early detection of plasma cell disorders (PCDs) remains challenging due to limited accessibility of gold standard diagnostic methods. This...
In MRI examinations, MR-unsafe metallic wheelchairs inadvertently brought into the scanner room represent a serious safety hazard. This study was aime...
Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but whether such scores represent anatomical competen...
Three-dimensional reconstruction of the knee plays an important role in orthopedic surgery and clinical decision-making, enabling precise implant plan...
Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abbreviated Injury Scale (AIS) score ≥ 3, characteriz...