Obstetrics & Gynecology

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

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Showing 1135-1155 of 2,437 articles
Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging.

BACKGROUND: Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examin...

Equation learning to identify nano-engineered particle-cell interactions: an interpretable machine learning approach.

Designing nano-engineered particles capable of the delivery of therapeutic and diagnostic agents to ...

Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases.

Uterine sarcomas have very poor prognoses and are sometimes difficult to distinguish from uterine le...

Towards machine learning for hydrogel drug delivery systems.

Hydrogel drug delivery system development is complex and laborious, and machine learning (ML) techni...

Establishment of a model for predicting the outcome of induced labor in full-term pregnancy based on machine learning algorithm.

To evaluate and establish a prediction model of the outcome of induced labor based on machine learni...

Sagittal intervertebral rotational motion: a deep learning-based measurement on flexion-neutral-extension cervical lateral radiographs.

BACKGROUND: The analysis of sagittal intervertebral rotational motion (SIRM) can provide important i...

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.

We introduce a method for training neural networks to perform image or volume segmentation in which ...

Deep learning in CT image segmentation of cervical cancer: a systematic review and meta-analysis.

BACKGROUND: This paper attempts to conduct a systematic review and meta-analysis of deep learning (D...

Volume-outcome relationship in intra-abdominal robotic-assisted surgery: a systematic review.

As robotic-assisted surgery (RAS) expands to smaller centres, platforms are shared between specialit...

Artificial intelligence-based algorithm for cervical vertebrae maturation stage assessment.

OBJECTIVE: The aim of this study was to develop an artificial intelligence (AI) algorithm to automat...

RU-Net: An improved U-Net placenta segmentation network based on ResNet.

BACKGROUND: In recent years, with the increase of late puerperium, cesarean section and induced abor...

Analysis of suction-based gripping strategies in wildlife towards future evolutions of the obstetrical suction cup.

The design of obstetrical suction cups used for vacuum assisted delivery has not substantially evolv...

3Ddose verification in prostate proton therapy with deep learning-based proton-acoustic imaging.

Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment pr...

Deep Learning-Based NMPC for Local Motion Planning of Last-Mile Delivery Robot.

Feasible local motion planning for autonomous mobile robots in dynamic environments requires predict...

Deep-learning-reconstructed high-resolution 3D cervical spine MRI for foraminal stenosis evaluation.

OBJECTIVE: To compare standard-of-care two-dimensional MRI acquisitions of the cervical spine with t...

Modular robotic platform for precision neurosurgery with a bio-inspired needle: System overview and first in-vivo deployment.

Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to ...

Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images.

The segmentation of cervical cytology images plays an important role in the automatic analysis of ce...

Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence.

BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human bei...

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