Obstetrics & Gynecology

A machine learning technology to improve the risk of non-invasive prenatal tests.

BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and preventi...

Diversified Applications of Self-assembled Nanocluster Delivery Systems- A State-ofthe- art Review.

BACKGROUND: For the nanoparticulate system and the transportation of cellular elements for the fabri...

Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery.

BACKGROUND: Artificial intelligence (AI), including machine learning (ML) and deep learning, has the...

A Telerobotic Ultrasound Clinic Model of Ultrasound Service Delivery to Improve Access to Imaging in Rural and Remote Communities.

OBJECTIVE: Patients living in many rural and remote areas do not have readily available access to ul...

Segmentation of acetowhite region in uterine cervical image based on deep learning.

BACKGROUND: Acetowhite (AW) region is a critical physiological phenomenon of precancerous lesions of...

Impact of oocyte donor age and breed on embryo production in cattle, and relationship of dairy and beef embryo recipients on pregnancy and the subsequent performance of offspring: A review.

Genomic selection combined with in vitro embryo production (IVEP) with oocytes from heifer calves pr...

Robotic Surgery: Advancements and Inflection Points in the Field of Gynecology.

Robotics has become an essential part of the surgical armamentarium for a growing number of surgeons...

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.

Although chemotherapy is the first-line treatment for ovarian cancer (OCa) patients, chemoresistance...

Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.

Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net.

Accurate placenta super micro-vessels segmentation is the key to diagnose placental diseases. Howeve...

Towards Interpretable Attention Networks for Cervical Cancer Analysis.

Recent advances in deep learning have enabled the development of automated frameworks for analysing ...

Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction.

Longitudinal follicle tracking is needed in clinical practice for diagnosis and management in assist...

A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution.

Cervical cancer is the fourth most common cancer in women worldwide. To determine early treatment fo...

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.

Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded a...

Automatic contour segmentation of cervical cancer using artificial intelligence.

In cervical cancer treatment, radiation therapy is selected based on the degree of tumor progression...

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains ...

Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk in...

Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI.

The purpose of this study was to explore whether the Nomogram, which was constructed by combining th...

Robotic Applications for Benign Gynecologic Procedures.

INTRODUCTION: Robotic systems provide a platform for surgeons to expand their capabilities, allowing...

Improving the delivery of palliative care through predictive modeling and healthcare informatics.

OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom b...

Gynecological Surgery and Machine Learning: Complications and Length of Stay Prediction.

In this study we are developing predictive models for a length of stay after a gynecological surgery...