Obstetrics & Gynecology

Pregnancy

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

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Advanced holographic convolutional dense networks and Tangent runner optimization for enhanced polycystic ovarian disease classification.

Polycystic Ovarian Disease (PCOD) is among the most prevalent endocrine disorders complicating the h...

Identification of Key Mitochondrial Autophagy-Related Genes in Fetal Growth Restriction.

OBJECTIVE: To identify key mitochondrial autophagy-related genes (MARGs) in fetal growth restriction...

Prediction of high-risk pregnancy based on machine learning algorithms.

This study explores the application of machine learning algorithms in predicting high-risk pregnancy...

Multimodal GPT model for assisting thyroid nodule diagnosis and management.

Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach to ...

Automatic ultrasound image alignment for diagnosis of pediatric distal forearm fractures.

PURPOSE: The study aims to develop an automatic method to align ultrasound images of the distal fore...

Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.

BACKGROUND: This study was performed to characterize the relationship of various laboratory test ind...

Self-supervised learning for label-free segmentation in cardiac ultrasound.

Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poor...

Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography.

Muscle ultrasound has high utility in clinical practice and research; however, the main challenges a...

Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.

The use of machine learning to integrate and analyse multimodal information has broad prospects for ...

[Artificial intelligence and ultrasound in fetal medicine].

Ultrasound is essential in fetal medicine for diagnosing and monitoring, but it requires extensive t...

A deep learning-based multimodal medical imaging model for breast cancer screening.

In existing breast cancer prediction research, most models rely solely on a single type of imaging d...

Performance of ChatGPT and Microsoft Copilot in Bing in answering obstetric ultrasound questions and analyzing obstetric ultrasound reports.

To evaluate and compare the performance of publicly available ChatGPT-3.5, ChatGPT-4.0 and Microsoft...

SensARy Substitution: Augmented Reality Techniques to Enhance Force Perception in Touchless Robot Control.

The lack of haptic feedback in touchless human-robot interaction is critical in applications such as...

Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations.

Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance...

Unveiling fetal heart health: harnessing auto-metric graph neural networks and Hazelnut tree search for ECG-based arrhythmia detection.

Fetal electrocardiogram (ECG) provides a non-invasive means to assess fetal heart health, but isolat...

Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine i...

Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Breast cancer is the most prevalent cancer and the second cause of cancer related death among women ...

Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.

Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of ...

GDM-BC: Non-invasive body composition dataset for intelligent prediction of Gestational Diabetes Mellitus.

Gestational Diabetes Mellitus (GDM) refers to any degree of impaired glucose tolerance with onset or...

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