Latest AI and machine learning research in pregnancy for healthcare professionals.
INTRODUCTION: To develop a novel deep learning framework for automated classification and detection of fetal intracranial structures in first-trimester ultrasound images. METHODS: A total of 2569 sagittal ultrasound images from 2,560 pregnant women (11-14Â weeks' gestation) were retrospectively collected from four clinical centers. All images were manually annotated for nine key fetal brain structu...
Heparan sulfate (HS) proteoglycans are abundant, sulfation-patterned glycosaminoglycans on brain cells and the neurovascular unit that interact with amyloid-β (Aβ) and tau, aggregate and propagate proteopathic species, and modulate cellular uptake pathways. Aptamers are short, chemically synthesized single-stranded nucleic acids that fold to form high-affinity ligands. Novel aptamers bind specific...
OBJECTIVE: Phase gating is a critical technique to mitigate tumor motion during radiotherapy, particularly in spot-scanned particle therapy (SSPT) whe...
BACKGROUND: Neurodevelopmental outcomes may be shaped by modifiable residential environmental exposures during pregnancy; however, in rapidly urbanizi...
RATIONALE AND OBJECTIVES: To describe clinicopathologic and ultrasonographic heterogeneity across immunohistochemistry-based FUSCC surrogate subtypes ...
BACKGROUND: Artificial intelligence (AI) is a promising tool for pancreatic disease diagnosis using Endoscopic Ultrasound (EUS) images. But, current m...
BACKGROUND: Online health information seeking (OHIS) has become a central component of chronic disease management within an increasingly interactive, ...
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarc...
BACKGROUND: Developmental dysplasia of the hip (DDH) is among the most common musculoskeletal disorders in infants. Ultrasound, especially the Graf me...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...
Ovarian cancer, with high mortality, demands accurate preoperative assessment to guide individualized treatment. It typically requires ultrasound, CT,...
Interpreting how noncoding variants act in specific cell types across human development is a major challenge. Here we generated 3 billion predictions ...
BACKGROUND AND OBJECTIVE: Accurately predicting outcomes in extremely preterm infants remains a major challenge in neonatology. Traditional scores suc...
BACKGROUND: Preterm birth, defined as delivery before 37 weeks of gestation, is a major cause of neonatal morbidity and mortality and places a substan...
Natural polysaccharides have attracted much attention due to their biocompatibility, biodegradability, low toxicity and various biological activities....
Lumbar plexus block (LPB) is a regional anesthesia technique widely used for hip and knee surgeries. However, despite the assistance of ultrasound gui...
OBJECTIVE: This study evaluates the diagnostic performance of two-dimensional (2D) microvascular flow imaging combined with standardized ultrasound ma...
Diabetes technology has transformed substantially over the past two decades, becoming central to modern diabetes management. Continuous glucose monito...
The prevalence of gestational diabetes mellitus (GDM) continues to rise, necessitating reliable and effective self-management strategies to improve ma...
BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to detect preoperative muscle invasion, high-grade tumo...