Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Female fertility depends on a finite pool of oocytes that depletes during aging1,2, yet the spatiotemporal dynamics of this depletion remain poorly understood. Traditional methods obscure the three-dimensional architecture of the ovary, limiting quantitative insights. Here we combine light-sheet microscopy, artificial intelligence-driven segmentation and mathematical modeling to map over 85,000 oo...
OBJECTIVES: The primary aim of this study was to develop a multimodal artificial intelligence model for predicting spontaneous preterm birth using cervical 2-dimensional ultrasound and elastography images, as well as ultrasound parameters. METHODS: This prospective cohort study recruited pregnant women undergoing transvaginal ultrasound screening at 20-24 weeks of gestation. Participants were divi...
Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic...
INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, nanotechnology-based drug delivery, and precision t...
PURPOSE: Altered placental capillary blood flow is closely linked to obstetric complications, yet quantifying capillary-scale blood velocity remains c...
BACKGROUND: Chronic inflammatory disorders represent a major global health burden characterized by persistent immune activation, oxidative stress, and...
PURPOSE: This review explores how e-health interventions are utilized within neonatal intensive care units to support nursing practice, with particula...
BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone deficiency, particularly during menopause, yet its ca...
OBJECTIVES: The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk stratification of adnexal lesions; however, radiol...
Menopause is a complex biological transition associated with physiological and psychosocial changes that can affect health and daily life. Yet, most c...
PURPOSE: To evaluate the predictive value of MRI sub-regional radiomics of the gluteus maximus for recurrence in high-grade serous ovarian cancer (HGS...
BACKGROUND: The symbiotic relationship between industrial advancement and healthcare delivery has fundamentally shaped modern medicine. This comprehen...
OBJECTIVES: To evaluate the variability and reproducibility of umbilical artery (UA), fetal middle cerebral artery (MCA) and uterine artery (UtA) Dopp...
Objective: To systematically evaluate the diagnostic performance of an artificial intelligence (AI)-assisted diagnostic system in identifying squamous...
BACKGROUND: Point-of-care ultrasound (POCUS) is integral to obstetrics and gynecology (OBGYN), offering bedside diagnostic and therapeutic advantages....
INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently l...
BACKGROUND: Breastfeeding duration is influenced by a complex interplay of obstetric, physiological, and sociodemographic factors. Traditional linear ...
HPV is the most common sexually transmitted infection; most sexually active individuals are exposed to HPV at some point in their lives, and the major...
OBJECTIVE: To systematically evaluate the diagnostic accuracy and methodological quality of machine learning (ML) prediction models for pregnancy outc...