Pregnancy

Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data.

This study integrates ultrasound Radiomics with clinical data to enhance the diagnostic accuracy of ...

Intrahepatic cholestasis of pregnancy.

Intrahepatic cholestasis of pregnancy is the most common pregnancy-related liver disease, manifestin...

SUP-Net: Slow-time Upsampling Network for Aliasing Removal in Doppler Ultrasound.

Doppler ultrasound modalities, which include spectral Doppler and color flow imaging, are frequently...

Deep Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT).

Ultrasonic attenuation can be used to characterize tissue properties of the human breast. Both quant...

Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.

Nursing care activities are essential to healthcare delivery, directly impacting patient safety, rec...

Fetal neurobehavior and consciousness: a systematic review of 4D ultrasound evidence and ethical challenges.

INTRODUCTION: Recent advancements in four-dimensional (4D) ultrasonography have enabled detailed obs...

Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study.

BACKGROUND: Racially minoritized populations in the United States (US), notably African American (AA...

Noninvasive Deep Learning System for Preoperative Diagnosis of Follicular-Like Thyroid Neoplasms Using Ultrasound Images: A Multicenter, Retrospective Study.

OBJECTIVE: To propose a deep learning (DL) system for the preoperative diagnosis of follicular-like ...

An overview of focused ultrasound as a treatment option for gliomas.

INTRODUCTION: High-grade gliomas remain difficult to treat due to their infiltrative growth, therape...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP.

Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more errat...

Exploring factors influencing entry into the gig economy: A study of Chinese workers.

This study explores the factors influencing the choices of Chinese workers to enter the gig economy ...

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both...

Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.

PURPOSE: Image-to-image (I2I) translation networks have emerged as promising tools for generating sy...

Deep learning-based ultrasound diagnostic model for follicular thyroid carcinoma.

OBJECTIVES: It is challenging to preoperatively diagnose follicular thyroid carcinoma (FTC) on ultra...

Raised Leptin and Pappalysin2 cell-free RNAs are the hallmarks of pregnancies complicated by preeclampsia with fetal growth restriction.

Preeclampsia (PE) and fetal growth restriction (FGR) complicate 5-10% of pregnancies and are major c...

Real-time color flow mapping of ultrasound microrobots.

Visualization and tracking of microrobots in real time pose key challenges for surgical microrobotic...

Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare.

Artificial intelligence (AI)-based technologies are increasingly being utilized, tested, and integra...

Commentary on "Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study".

Commercialization of medical artificial intelligence technologies: challenges and opportunities.

Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-g...

The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy.

BACKGROUND: Conservative treatment remains a viable option for selected patients with ectopic pregna...