Pregnancy

Biosynthesis of Quercetin-Loaded Melanin Nanoparticles for Improved Antioxidant Activity, Photothermal Antimicrobial, and NIR/pH Dual-Responsive Drug Release.

Quercetin (QCT) is a promising dose-dependent nutraceutical that usually suffers from poor water solubility and low bioavailability issues. In this work, a novel QCT-loaded nanoscale delivery system was constructed based on the oxidative self-polymerization of melanin (Q@MNPs). The FT-IR, XRD, and Zeta potential analyses confirmed that QCT was successfully absorbed on the melanin nanoparticles (MN...

Densely connected convolutional networks for ultrasound image based lesion segmentation.

Delineating lesion boundaries play a central role in diagnosing thyroid and breast cancers, making related therapy plans and evaluating therapeutic effects. However, it is often time-consuming and error-prone with limited reproducibility to manually annotate low-quality ultrasound (US) images, given high speckle noises, heterogeneous appearances, ambiguous boundaries etc., especially for nodular l...

AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.

PURPOSE: The quality of ultrasound images is degraded by speckle and Gaussian noises. This study aims to develop a deep-learning (DL)-based filter for...

Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.

PURPOSE: The aim of this study was to investigate the current application of artificial intelligence (AI) tools in the teaching of ultrasound skills a...

ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) de...

Applications of Artificial Intelligence in Health Care Delivery.

Health care costs now comprise nearly one-fifth of the United States' gross domestic product, with the last 25 years marked by rising administrative c...

A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH).

OBJECTIVE: To examine the correlation between specific indicators and the quality of hip joint ultrasound images in infants and determine whether the ...

An extended focused assessment with sonography in trauma ultrasound tissue-mimicking phantom for developing automated diagnostic technologies.

Medical imaging-based triage is critical for ensuring medical treatment is timely and prioritized. However, without proper image collection and inter...

Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with advancements in medical technology and increasing ...

BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems.

PURPOSE: Computer-aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to increase the efficiency and effectiveness of breast screening, helpi...

Mapping adipose tissue in short-axis echocardiograms using spectral analysis.

The number one cause of death in the United States is consistently cardiovascular disease (CVD). Studies have proven that the buildup of cardiac adipo...

An investigation study on the interpretation of ultrasonic medical reports using OpenAI's GPT-3.5-turbo model.

OBJECTIVES: Ultrasound medical reports are an important means of diagnosing diseases and assessing treatment effectiveness. However, their professiona...

Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.

BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) collects data abstracted from medical records and b...

Advances in Fetal Cardiac Imaging and Intervention.

The field of fetal cardiology has evolved significantly in recent years. This review focuses on specific advances in fetal cardiac imaging and interve...

Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.

Artificial intelligence (AI) is increasingly a part of our everyday lives. Though much AI work in healthcare has been outside of applied behavior anal...

Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning.

Fetal biometry and amniotic fluid volume assessments are two essential yet repetitive tasks in fetal ultrasound screening scans, aiding in the detecti...

Prospective assessment of breast lesions AI classification model based on ultrasound dynamic videos and ACR BI-RADS characteristics.

INTRODUCTION: AI-assisted ultrasound diagnosis is considered a fast and accurate new method that can reduce the subjective and experience-dependent na...

Indocyanine green-marked fluorescence-guided off-clamp versus intraoperative ultrasound-guided on-clamp robotic partial nephrectomy: Outcomes on surgical procedure.

OBJECTIVES: To compare surgical and functional outcomes between off-clamp robot-assisted partial nephrectomy with indocyanine-green tumour marking thr...

Folic acid: The key to a healthy pregnancy - A prospective study on fetomaternal outcome.

OBJECTIVES: The objective of the study is to study the fetomaternal outcome associated with folic acid deficiency in pregnancy.

Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy.

BACKGROUND: Peripartum cardiomyopathy, one of the most fatal conditions during delivery, results in heart failure secondary to left ventricular systol...