Latest AI and machine learning research in pregnancy for healthcare professionals.
High-resolution slice-to-volume reconstruction (SVR) from multiple motion-corrupted low-resolution 2D slices constitutes a critical step in image-based diagnostics of moving subjects, such as fetal brain Magnetic Resonance Imaging (MRI). Existing solutions struggle with image artifacts and severe subject motion or require slice pre-alignment to achieve satisfying reconstruction performance. We p...
Ultrasound-guided fine needle aspiration (FNA) biopsy is a common minimally invasive diagnostic procedure. However, an aspiration needle tracker addressing rapid reciprocating motion is still missing. MrTrack, an aspiration needle tracker with a mamba-based register mechanism, is proposed. MrTrack leverages a Mamba-based register extractor to sequentially distill global context from each histori...
The human cerebral cortex is composed of six layers and dozens of areas that are molecularly and structurally distinct. Although single-cell transcrip...
As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory la...
Musculoskeletal ultrasound (MSUS) and magnetic resonance imaging (MRI) are advanced imaging techniques that are increasingly important in the diagnosi...
Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, and environmental changes, often complicating mater...
OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential lower extremity deep venous thrombosis (DVT). The T...
BACKGROUND: This study aimed to develop a BI-RADS network (DL-UM) via integrating ultrasound (US) and mammography (MG) images and explore its performa...
Electric field-driven micro/nanorobots, as micro/nanodevices with autonomous motion capability, have emerged as promising candidates for targeted carg...
Ultrasound (US) report generation is a challenging task due to the variability of US images, operator dependence, and the need for standardized text...
This study evaluated the suitability of applying supervised deep learning (DL) algorithms for early and real-time pregnancy diagnosis in beef cattle u...
OBJECTIVE: Currently, cervical anesthesia is performed using three main approaches: superficial cervical plexus block, deep cervical plexus block, and...
BACKGROUND: Accurate prediction of the mode of delivery is critical in maternal care to improve prenatal counseling, optimize clinical decision-making...
IMPORTANCE: Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in prevalence, screening, and treatment. ...
BACKGROUND: The study aimed at developing and validating a deep learning (DL) model based on the ultrasound imaging for predicting the platinum resist...
Electrospun drug-loaded polymeric nanofibers can improve the efficacy of therapeutics for a variety of implications. By design, these biomaterial plat...
OBJECTIVE: The purpose of this project was to implement a remote fetal surveillance unit with increased vigilance and timelier responses to electronic...
Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where ...
BACKGROUND: Given the current limited accuracy of imaging screening for Hepatic Echinococcosis (HCE) in under-resourced areas, the authors developed a...