Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
The cervical ossification of the posterior longitudinal ligament (cOPLL) is sometimes misdiagnosed o...
Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...
BACKGROUND: Labor pain is one of the most intense pains that a woman experiences. Almost 60% of prim...
While gonadotrophin releasing hormone (GnRH) antagonists have been the standard of pituitary suppres...
With self-supervised learning, both labeled and unlabeled data can be used for representation learni...
BACKGROUND: Electronic health records (EHRs) are a rich source of longitudinal patient data. However...
The assessment of polymorphonuclear leukocyte (PMN) proportions (%) of endometrial samples is the ha...
The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted ...
INTRODUCTION: Endometriosis is a chronic inflammatory disease that affects approximately 10%-15% of ...
OBJECTIVE: To study whether artificial intelligence (AI) technology can be used to discern quantitat...
This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly co...
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant w...
The advantages of dual console use in robotic surgical education have not been described. The aims o...
Magnetic micro-/nanorobots have been regarded as a promising platform for targeted drug delivery, an...
Endometriosis-a systemic and chronic condition occurring in women of childbearing age-is a highly en...
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learni...
The french society of pathology (SFP) organized in 2020 its first data challenge with the help of He...
To see if HHV-6 may be a cause of infertility, researchers looked at 18 men and 10 women who had une...
PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic...
Untethered small-scale robots offer great promise for medical applications in complex biological env...
The objective of this study was to evaluate the incidence of perioperative complications in robotic-...