Obstetrics & Gynecology

Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.

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Showing 1345-1365 of 2,439 articles
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm.

A common gynecological disease in the world is breast cancer that early diagnosis of this disease ca...

Mandate to evaluate robotic surgery implementation: a 12-year retrospective analysis of impact and future implications.

The introduction of robotic surgery in hospitals has raised much debate given the various effects on...

The utility of color normalization for AI-based diagnosis of hematoxylin and eosin-stained pathology images.

The color variation of hematoxylin and eosin (H&E)-stained tissues has presented a challenge for app...

Building a predictive model to assist in the diagnosis of cervical cancer.

Cervical cancer is still one of the most common gynecologic cancers in the world. Since cervical ca...

Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm.

fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceiv...

Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy.

OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureterosco...

Novelelectronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms.

OBJECTIVE: To predict risk of pre-eclampsia (PE) in women using machine learning (ML) algorithms, ba...

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning.

The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task ...

An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.

RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monito...

Environmentally Adaptive Shape-Morphing Microrobots for Localized Cancer Cell Treatment.

Microrobots have attracted considerable attention due to their extensive applications in microobject...

Stem-cell based, machine learning approach for optimizing natural killer cell-based personalized immunotherapy for high-grade ovarian cancer.

Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...

Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.

Automatic and accurate detection of anatomical landmarks is an essential operation in medical image ...

Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix c...

Silver Nanoparticles as an Effective Antimicrobial against Otitis Media Pathogens.

Otitis Media (OM) is the most common reason for U.S. children to receive prescribed oral antibiotics...

Robust whole slide image analysis for cervical cancer screening using deep learning.

Computer-assisted diagnosis is key for scaling up cervical cancer screening. However, current recogn...

Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjace...

Magneto-Responsive Microneedle Robots for Intestinal Macromolecule Delivery.

Oral administration is the most convenient and commonly used approach for drug delivery, while it is...

Artificial Intelligence in the Assessment of Female Reproductive Function Using Ultrasound: A Review.

The incidence of infertility is continuously increasing nearly all over the world in recent years, a...

Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.

PURPOSE: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrinopathy in women of reproducti...

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