Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morpholo...

Standardized algorithm for cesarean scar pregnancy management: single-center outcomes.

OBJECTIVE: To evaluate the clinical utility of a standardized algorithm in the management of cesarea...

Investigation of serum neuroserpin levels in pregnant women diagnosed with pre-eclampsia: a prospective case-control study.

OBJECTIVE: Neuroserpin, a serine protease inhibitor, is recognized for its anti-inflammatory and neu...

Integrity of polymeric micelles regulates bioavailability of cyclosporine A: A FRET-based analysis during oral delivery.

This study comprehensively investigated the effect of structural integrity on the oral delivery effi...

Milk residue concentrations of ivermectin following pour-on administration to pregnant Holstein cows during different dry periods.

This study aimed to compare ivermectin residue concentrations in milk following pour-on administrati...

[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

The innovative technologies are becoming widespread in all spheres of human life, including labor pr...

Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification.

In this study, we propose a novel approach to enhancing transfer learning by optimizing data selecti...

Combining lipidomics and machine learning to identify lipid biomarkers for nonsyndromic cleft lip with palate.

Nonsyndromic cleft lip with palate (nsCLP) is a common birth defect disease. Current diagnostic meth...

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review.

Medical images occupy the largest part of the existing medical information and dealing with them is ...

Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasoun...

Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.

Ultrasound (US) is considered a key modality for the clinical assessment of hepatic steatosis (i.e.,...

BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because o...

Microencapsulation of Lactobacillus cells utilizing the β-glucan-rich cell wall of Saccharomyces cerevisiae for enhanced stability and efficacy.

Probiotic encapsulation enhances bacterial stability and viability, yet conventional materials like ...

Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managi...

A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.

Deep learning techniques have demonstrated potential in various fields, including segmentation, and ...

TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG.

Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal developm...

Artificial intelligence guided imaging as a tool to fill gaps in health care delivery.

Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ult...

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