Pregnancy

A novel machine-learning algorithm to screen for trisomy 21 in first-trimester singleton pregnancies.

BACKGROUND: Antenatal screening for Trisomy 21 (T21) in the UK is performed primarily in the first t...

Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neona...

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) respons...

Recent developments with pH-responsive lyotropic liquid crystalline lipid nanoparticles for targeted bioactive agent delivery.

INTRODUCTION: Lyotropic liquid crystalline lipid nanoparticles (LNPs) are a platform technology with...

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts l...

Development of a deep learning model for predicting skeletal muscle density from ultrasound data: a proof-of-concept study.

Reduced muscle mass and function are associated with increased morbidity, and mortality. Ultrasound,...

A novel UNet-SegNet and vision transformer architectures for efficient segmentation and classification in medical imaging.

Medical imaging has become an essential tool in the diagnosis and treatment of various diseases, and...

Recent advances of engineering cell membranes for nanomedicine delivery across the blood-brain barrier.

The blood-brain barrier (BBB) poses a major challenge to the effective delivery of therapeutic agent...

Commentary on: Machine learning for classifying chronic ankle instability based on ankle strength, range of motion, postural control, and anatomical deformities in delivery service workers with a history of lateral ankle sprains.

Efficient Ultrasound Breast Cancer Detection with DMFormer: A Dynamic Multiscale Fusion Transformer.

OBJECTIVE: To develop an advanced deep learning model for accurate differentiation between benign an...

Artificial Intelligence-Assisted Standard Plane Detection in Hip Ultrasound for Developmental Dysplasia of the Hip: A Novel Real-Time Deep Learning Approach.

Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joi...

Association between prenatal exposure to per- and polyfluoroalkyl substances and blood pressure among preschool-aged children: The moderating effect of child-age and the mediating effect of inflammatory cytokine.

Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...

Targeting PFKFB3 to restore glucose metabolism in acute pancreatitis via nanovesicle delivery.

BACKGROUND: Acute pancreatitis (AP) is a severe inflammatory disease frequently accompanied by distu...

Multi-modal convolutional neural network-based thyroid cytology classification and diagnosis.

BACKGROUND: The cytologic diagnosis of thyroid nodules' benign and malignant nature based on cytolog...

AI-enabled obstetric point-of-care ultrasound as an emerging technology in low- and middle-income countries: provider and health system perspectives.

BACKGROUND: In many low- and middle-income countries (LMICs), widespread access to obstetric ultraso...

Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Res...

Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes.

Maternal mental health during pregnancy is a crucial area of research due to its profound impact on ...

Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention.

Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic con...

Enhancing Prostate Cancer Classification: A Comprehensive Review of Multiparametric MRI and Deep Learning Integration.

Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) a...

De-speckling of medical ultrasound image using metric-optimized knowledge distillation.

Ultrasound imaging provides real-time views of internal organs, which are essential for accurate dia...

SPACE: Subregion Perfusion Analysis for Comprehensive Evaluation of Breast Tumor Using Contrast-Enhanced Ultrasound-A Retrospective and Prospective Multicenter Cohort Study.

OBJECTIVE: To develop a dynamic contrast-enhanced ultrasound (CEUS)-based method for segmenting tumo...