Obstetrics & Gynecology

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

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Showing 1387-1407 of 2,439 articles
A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer.

Ovarian cancer is associated with poor prognosis. Platinum resistance contributes significantly to t...

The present and future of intrapartum computerized cardiotocography: role of pattern recognition incorporating single vs. multiple parameters.

Computer assisted cardiotocography holds a great promise in minimizing human errors thereby improvin...

Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.

OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, ...

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantifi...

Vesicouterine Fistula: A Robotic Approach.

INTRODUCTION AND HYPOTHESIS: This video demonstrates surgical repair of a vesicouterine fistula via ...

Robotic Radical Trachelectomy with Primary Vaginal Closure to Spare Fertility in Young Patients with Early-Stage Cervical Cancer.

OBJECTIVE: Our aim was to present the surgical technique of robotic radical trachelectomy (RRT) for ...

Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.

Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Ce...

Early pregnancy diagnosis of rabbits: A non-invasive approach using Vis-NIR spatially resolved spectroscopy.

Pregnancy diagnosis is essential for rabbit's reproductive management. The early identification of n...

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets.

Topological data analysis (TDA) is a powerful method for reducing data dimensionality, mining underl...

A stacking ensemble deep learning approach to cancer type classification based on TCGA data.

Cancer tumor classification based on morphological characteristics alone has been shown to have seri...

Machine learning predicts 3D printing performance of over 900 drug delivery systems.

Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical res...

Robot-assisted Exploration of Somatic Nerves in the Pelvis and Transection of the Sacrospinous Ligament for Alcock Canal Syndrome.

STUDY OBJECTIVE: Some articles have reported the surgical management of Alcock canal syndrome (ACS) ...

Development and assessment of a telesonography system for musculoskeletal imaging.

BACKGROUND: Telesonography systems have been developed to overcome barriers to accessing diagnostic ...

Menopausal Women's Health Care Method Based on Computer Nursing Diagnosis Intelligent System.

Taking into account the current feature extraction speed and recognition effect of intelligent diagn...

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular scree...

A fuzzy rank-based ensemble of CNN models for classification of cervical cytology.

Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million deaths. D...

Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.

The purpose of our study was to develop a radiomics model based on preoperative MRI and clinical in...

Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network.

Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperat...

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