Latest AI and machine learning research in pregnancy for healthcare professionals.
Breast cancer stands as the primary reason for fatality in female patients from cancer worldwide. The diagnostic precision of ultrasound imaging depends on operator skills because it lacks invasive procedures but remains accessible through wide availability. The medical field needs automated systems which provide explainable results to help doctors achieve better breast lesion diagnosis accuracy. ...
Unintended pregnancy remains common in high income countries and has been linked to poorer maternal and neonatal outcomes. Whether pregnancy intention has an independent, causal effect on preterm birth, beyond social and clinical risk factors, is uncertain. We conducted a cross-sectional analysis of a nationally representative sample of singleton live births from a US reproductive health survey. P...
Electronic health records (EHRs) contain valuable information for clinical research and decision-making. However, leveraging these data remains challe...
Anterior quadratus lumborum (QL) block is a regional anesthesia technique shown to provide both somatic and visceral pain relief by targeting lower th...
The proliferation of food delivery applications has fundamentally transformed urban dietary behaviors, creating unprecedented shifts in meal consumpti...
Pregnancy orchestrates a rare physiological transformation across vascular, immune, and metabolic systems. When this dynamic balance is disrupted – as...
Threatened miscarriage represents one of the most prevalent obstetric emergencies globally. Nevertheless, women experiencing first-trimester bleeding ...
Carotid ultrasound is routinely used in clinical practice for non-invasive vascular anatomical and functional assessment. In particular, the carotid i...
Perinatal depression affects up to 30% of pregnant and postpartum women, which has increased since the COVID-19 pandemic, making rapidly identifying a...
The use of Artificial Intelligence (AI) in healthcare is a field of growing relevance and importance, but in many LMICs, those seeking to develop AI b...
Adaptive Optics retinal imaging (AO) enables high-resolution visualization of the retinal microvasculature providing insights into systemic vascular h...
Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, but the examination of ultrasound images by radiol...
Accurate classification of carotid plaques is critical to assessing the risk of cardiovascular disease. However, this task remains challenging due to ...
PURPOSE: Thyroid Imaging Reporting and Data System (TIRADS) does not perform well in thyroid adenomatoid nodules on ultrasound (TANU). Therefore, we a...
OBJECTIVE: To assess the feasibility and efficacy of developing a predictive model for postoperative recurrence and metastasis in breast cancer using ...
Diagnosis and treatment of endometrial diseases are crucial for women's health. Over the past decade, ultrasound has emerged as a non-invasive, safe, ...
Advanced algorithmic technologies and artificial intelligence (AI) are projected to profoundly impact public employment services (PES) and the deliver...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, amyloid-beta (Aβ) aggregation, tau pathology,...
Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The rece...
PURPOSE: Intra-operative factors are crucial to early recurrence of hepatocellular carcinoma (HCC) after microwave ablation (MWA), but few models have...