Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer, but their toxicity profiles may differ in clinically meaningful ways. We aimed to compare the neuropsychiatric and systemic toxicity patterns of abemaciclib and palbociclib and to explore pharmacokinetic and molecular features that might co...
BACKGROUND AND OBJECTIVES: Respite care provides temporary relief to family caregivers yet remains underused, and the factors shaping its utilization among Veteran caregivers are not well understood. This evaluation examined caregiver‑ and Veteran‑specific characteristics associated with respite care use within the Department of Veterans Affairs (VA) Caregiver Support Program's Program of General ...
Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a primary cause of organ toxicity and mortality desp...
BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prog...
BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns ab...
BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valu...
The public health impact of vaping in the United States reflects a complex balance of potential benefits and emerging risks, as e‑cigarettes may reduc...
BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke ...
ObjectiveTo systematically review literature on the use of artificial intelligence (AI) and machine learning (ML) models for detecting velopharyngeal ...
BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...
Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions ...
BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and publicly reported in United States hospitals but requ...
In recent years, machine learning and artificial intelligence approaches have been increasingly applied in the context of toxicological risk assessmen...
OBJECTIVES: Oligometastatic disease represents an intermediate stage of cancer, often treated with surgery or ablative radiotherapy (ART). This scopin...
Deep neural networks (DNNs) excel across domains but face challenges in resource-constrained and critical settings due to high computational cost and ...
Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview of its clinical evaluation landscape remains lack...
Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia, and its isolated form is of particular interest, as it is an early phase alpha...
BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomatous polyps. Although colonoscopy is the gold stand...
The rational design of catalysts from first principles remains a central but still elusive goal of modern quantum chemistry. Although advances in comp...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical planning, risk stratification, and outcome predict...