Latest AI and machine learning research in preventive care for healthcare professionals.
Polyp segmentation in colonoscopy images plays a critical role in the early detection and treatment of colorectal cancer. Although deep learning-based segmentation models have achieved remarkable success, their performance is often limited by variable imaging protocols or unseen datasets from different endoscopic devices. To address this challenge, unsupervised domain adaptation (UDA) methods have...
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality across the globe. Conventional risk stratification often depends on invasive biomarkers or generic risk scores that may underperform in key demographics, particularly women and middle-aged adults. Retinal microvasculature provides a non-invasive window into systemic vascular health (oculomics), but its integration with rout...
Invasive candidiasis represents a critical global health challenge, causing approximately 6.5 million bloodstream infections annually with mortality r...
Long-range interactions and electric response are essential for accurate modeling of condensed-phase systems, but capturing them efficiently remains a...
STUDY OBJECTIVES: To compare end-of-life predictions as measured by the physician-answered surprise question (SQ), "Would you be surprised if this pat...
BACKGROUND AND AIMS: Artificial intelligence has increasingly enabled large-scale analysis of clinical documentation, offering new opportunities to im...
OBJECTIVES: To examine screening mammograms assigned high-risk scores by two artificial intelligence (AI) models, 2 and 4 years prior to screen-detect...
BACKGROUND: Digital twin (DT) systems have emerged as a promising approach in health care, enabling real-time, patient-specific virtual modeling and p...
BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural China. In rural settings, the heavy burden of chro...
BACKGROUND: Title and abstract screening is a labor-intensive stage of systematic reviews. Large language models (LLMs) can automate this process, but...
CONTEXT: High-energy density materials (HEDMs) are indispensable for defense and a wide range of industrial applications. A core challenge in their de...
Opportunistic screening leverages existing imaging examinations performed for unrelated routine clinical indications to systematically extract quantit...
Spinal cord injury (SCI) is a highly disabling central nervous system disease with complex pathology, and targeted neuroprotective drugs remain clinic...
BACKGROUND: Membranous nephropathy (MN) is an autoimmune disease characterized by immune complex deposition and progressive renal function impairment....
Accurately detecting patterns of interest across a large number of images presents a significant challenge in data analysis for high-throughput analyt...
BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era,...
OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quantifying incidental findings. We evaluated the repe...
BACKGROUND: Adolescent idiopathic scoliosis (AIS) affects 2-3% of adolescents. Current screening relies on X-rays, which limits large-scale applicatio...
BACKGROUND: Lung cancer remains the leading cause of cancer deaths in the United States; however, uptake of lung cancer screening (LCS) with low-dose ...
OBJECTIVE: To validate the diagnostic accuracy of ICDAS visual examination, conventional bitewing radiography, and artificial intelligence (AI)-assist...