Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Pulmonary complications, and especially pneumonia, remain one of the most common complications after...
The methanolic extract (SA-EXT) of Syzygium aromaticum flower buds and its fractions tested against ...
OBJECTIVE: To observe the effects of mild moxibustion on the expression of autophagy and apoptosis f...
We use a dense and fully connected convolutional network with good feature learning in small samples...
Cervical cancer radiotherapy is often complicated by significant variability in the quality and cons...
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as...
OBJECTIVES: To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and t...
Prediction of a labor due date is important especially for the pregnancies with high risk of complic...
Raman hyperspectral imaging is a powerful technique that provides both chemical and spatial informat...
The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation...
Quantification of ovarian and follicular volume and follicle count are performed in clinical practic...
Transforming natural cells into functional biocompatible robots capable of active movement is expect...
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...
Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has incre...
INTRODUCTION: Glucocorticoids (GC) are largely used for their anti-inflammatory and immunosuppressiv...
PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program f...
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into t...
AIM: This study aimed to determine surgical outcomes in patients with gynecological cancers for whom...
BACKGROUND: Dual-energy computed tomography (DECT) imaging can generate iodine-based material decomp...