Obstetrics & Gynecology

Pregnancy

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

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Showing 2164-2184 of 3,262 articles
Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...

Diagnosis of Thyroid Nodule with New Ultrasound Imaging Modalities.

B-mode ultrasound (US) technology is an integral part of diagnosing and assessing risk stratificati...

Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence.

Computer-aided diagnosis systems have been developed to assist doctors in diagnosing thyroid nodules...

Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015.

Quantification of stillbirth risk has potential to support clinical decision-making. Studies that ha...

Hierarchical Analysis of Factors Associated with T Staging of Gastric Cancer by Endoscopic Ultrasound.

BACKGROUND: Size, ulcer, differentiation, and location are known to be factors affecting the T stage...

Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images.

Fibromyalgia (FM) diagnosis remains a challenge for clinicians due to a lack of objective diagnostic...

AIBx, Artificial Intelligence Model to Risk Stratify Thyroid Nodules.

Current classification systems for thyroid nodules are very subjective. Artificial intelligence (AI...

Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning.

Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We develop...

Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound.

In ultrasound (US) imaging, various types of adaptive beamforming techniques have been investigated ...

Robotic fetal ultrasonography platform with a passive scan mechanism.

PURPOSE: The shortage of obstetricians and gynecologists has intensified in developed countries. Our...

Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.

Plaque rupture and subsequent thrombosis are major processes of acute cardiovascular events. The Vul...

Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.

Preterm birth, defined as a delivery before 37 weeks' gestation, continues to affect 8-15% of all pr...

Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging...

Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.

This paper proposes an ultrasound video interpretation algorithm that enables novel classes or insta...

Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.

Breast cancer accounts for the second-largest number of deaths in women around the world, and more t...

Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.

While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it c...

Many-isocenter optimization for robotic radiotherapy.

Despite significant dosimetric gains, clinical implementation of the 4Ï€ non-coplanar radiotherapy on...

End-to-end trained encoder-decoder convolutional neural network for fetal electrocardiogram signal denoising.

OBJECTIVE: Non-invasive fetal electrocardiography has the potential to provide vital information for...

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