Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Despite the growing number of patients with both coronary artery disease and gynecologic...
PURPOSE: Magnetic resonance (MR) imaging is the gold standard in image-guided brachytherapy (IGBT) d...
As developments in artificial intelligence and machine learning become more widespread in healthcare...
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...
We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven...
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...