Latest AI and machine learning research in domestic violence for healthcare professionals.
CONTEXT: High-energy density materials (HEDMs) are indispensable for defense and a wide range of industrial applications. A core challenge in their development is achieving an optimal balance between high energy performance and low mechanical sensitivity. Traditional design approaches suffer from low efficiency, high cost, and potential risks. In this work, we propose an integrated strategy combin...
Opportunistic screening leverages existing imaging examinations performed for unrelated routine clinical indications to systematically extract quantitative biomarkers. Artificial intelligence tools have made deployment at scale increasingly feasible. However, the pathway from a validated algorithm to a functioning clinical program remains poorly defined, and prospective implementation at scale is ...
Spinal cord injury (SCI) is a highly disabling central nervous system disease with complex pathology, and targeted neuroprotective drugs remain clinic...
OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quantifying incidental findings. We evaluated the repe...
The neural mechanisms underlying fear learning are critical for survival. Childhood maltreatment increases the risk of psychopathology by disrupting t...
BACKGROUND: COPD remains a leading cause of global morbidity and mortality, with acute exacerbations driving disease progression and healthcare utilis...
The peculiarities of older individuals related to osteoporosis and hyperostosis may lead to a higher rate of misdiagnosis of rib fractures on computed...
BACKGROUND: Adolescent idiopathic scoliosis (AIS) affects 2-3% of adolescents. Current screening relies on X-rays, which limits large-scale applicatio...
BACKGROUND: Large language models (LLMs) are being integrated into qualitative research processes, yet the scope, function, and reporting quality of t...
OBJECTIVE: To systematically characterise United States Food and Drug Administration (FDA) authorised urology-specific artificial intelligence (AI)-en...
OBJECTIVE: In emergency trauma care, artificial intelligence (AI) may aid fracture detection on radiographs, potentially reducing radiologists' worklo...
The increasing complexity of cardiovascular procedures, regulatory constraints, and heightened patient safety requirements have necessitated a fundame...
BACKGROUND: Lung cancer remains the leading cause of cancer deaths in the United States; however, uptake of lung cancer screening (LCS) with low-dose ...
BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspirat...
Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems d...
INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...
PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, ri...
BACKGROUND: Automated systematic literature review (SLR) may reduce the workload and errors associated with manual review, enabling faster, up-to-date...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...