Pregnancy

Decoding fetal motion in 4D ultrasound with DeepLabCut.

PURPOSE: This study aimed to objectively and quantitatively analyze fetal motor behavior using DeepL...

Unveiling social determinants of health impact on adverse pregnancy outcomes through natural language processing.

Understanding the role of Social Determinants of Health (SDoH) in pregnancy outcomes is critical for...

Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options.

BACKGROUND: Automated insulin delivery (AID) has revolutionized glucose management. Next-generation ...

Ultrasound-Based Machine Learning and SHapley Additive exPlanations Method Evaluating Risk of Gallbladder Cancer: A Bicentric and Validation Study.

OBJECTIVES: This study aims to construct and evaluate 8 machine learning models by integrating ultra...

WGCNA combined with machine learning for analysis of diagnostic markers of preeclampsia associated with the hedgehog signaling pathway.

BACKGROUND: Abnormal hedgehog (Hh) signaling is linked to preeclampsia (PE). This study aimed to ide...

Automated coronary artery segmentation / tissue characterization and detection of lipid-rich plaque: An integrated backscatter intravascular ultrasound study.

BACKGROUND: Intravascular ultrasound (IVUS)-based tissue characterization has been used to detect vu...

A Co-Plane Machine Learning Model Based on Ultrasound Radiomics for the Evaluation of Diabetic Peripheral Neuropathy.

RATIONALE AND OBJECTIVES: Detection of diabetic peripheral neuropathy (DPN) is critical for preventi...

Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-driven XAI.

OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...

High-throughput screening accelerated by machine learning for the morphology of silica nanoparticles with high cell permeability.

In recent years, silica nanoparticles have garnered tremendous attention as drug-delivery carriers. ...

Artificial Intelligence for the Detection of Fetal Ultrasound Findings Concerning for Major Congenital Heart Defects.

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-based software to identify...

Advancing perioperative precision: implementation pathways for machine learning predictions in obstetric analgesia.

Function of chemokines in embryo implantation.

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-...

Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients.

OBJECTIVE: To evaluate the agreement and repeatability of an automated robotic ultrasound system (AR...

Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report...

Redesigning miR-34a: structural and chemical advances in the therapeutic development of an miRNA anti-cancer agent.

MicroRNAs (miRNAs) represent a promising class of therapeutics due to their ability to down-regulate...

Bridging technology and medicine: artificial intelligence in targeted anticancer drug delivery.

The integration of artificial intelligence (AI) in targeted anticancer drug delivery represents a si...

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

The potential of deep learning to predict renal obstruction using kidney ultrasound images has been ...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional Ultrasound.

Artificial Intelligence (AI) is a theoretical framework and systematic development of computational ...

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening.

Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and th...

Identification of m5C-related genes and subclusters in recurrent pregnancy loss.

PURPOSE: Recurrent pregnancy loss (RPL), which occurs in 1-5% of couples and nearly half of the case...