Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Labor pain is one of the most intense pains that a woman experiences. Almost 60% of primiparous women described the pain of uterine contractions as unbearable extremely severe or excruciating.
While gonadotrophin releasing hormone (GnRH) antagonists have been the standard of pituitary suppression during ovarian stimulation for ART, progestin primed ovarian stimulation (PPOS) has emerged as an alternative. Progestins can be started simultaneously with gonadotrophins (fixed PPOS) or later in the cycle depending on follicle growth (flexible PPOS). However, the flexible and fixed PPOS regim...
With self-supervised learning, both labeled and unlabeled data can be used for representation learning and model pretraining. This is particularly rel...
BACKGROUND: Electronic health records (EHRs) are a rich source of longitudinal patient data. However, missing information due to clinical care that pr...
The assessment of polymorphonuclear leukocyte (PMN) proportions (%) of endometrial samples is the hallmark for subclinical endometritis (SCE) diagnosi...
The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that...
INTRODUCTION: Endometriosis is a chronic inflammatory disease that affects approximately 10%-15% of women of childbearing age. Laparoscopic surgery is...
OBJECTIVE: To study whether artificial intelligence (AI) technology can be used to discern quantitative differences in endometrial immune cells betwee...
This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly contraceptive expenditure of rural households in coa...
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe s...
The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, s...
Magnetic micro-/nanorobots have been regarded as a promising platform for targeted drug delivery, and tremendous strategies have been developed in rec...
Endometriosis-a systemic and chronic condition occurring in women of childbearing age-is a highly enigmatic disease with unresolved questions. While m...
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learning. Data came from Korea University Anam Hospital ...
The french society of pathology (SFP) organized in 2020 its first data challenge with the help of Health Data Hub (HDH). The organisation of this even...
To see if HHV-6 may be a cause of infertility, researchers looked at 18 men and 10 women who had unexplained critical fertility and had at least one p...
PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic imaging-based diagnostic procedures is hailing am...
Untethered small-scale robots offer great promise for medical applications in complex biological environments. However, challenges remain in the contr...
The objective of this study was to evaluate the incidence of perioperative complications in robotic-assisted hysterectomies performed by high-volume r...
OBJECTIVES: Long term outcomes following fertility sparing robot-assisted radical trachelectomy (RRT).