Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Integrating tactile feedback for lump localization in Robot-assisted Minimally Invasive Surgery (RMI...
Machine learning is a rapidly evolving field that offers physicians an innovative and comprehensive ...
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (L...
OBJECTIVE: To present the first robot-assisted uterus retrieval from a living donor for uterine tran...
OBJECTIVE: Over the past years, the application of artificial intelligence (AI) in medicine has incr...
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a rel...
Endometriosis is major gynecological disease that affects over 10% of women worldwide and 30%-50% of...
The study aims to explore the application of international classification of diseases (ICD) coding t...
STUDY OBJECTIVE: To review malfunction events (MEs) related to the use of the da Vinci robot reporte...
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms that re...
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to...
OBJECTIVES: Pouch of Douglas (POD) obliteration is a severe consequence of inflammation in the pelvi...
Judging swallowing kinematic impairments via videofluoroscopy represents the gold standard for the d...
The referral is the key source of information that enables radiologists and radiographers to provide...
Silver nanoparticles (AgNPs) are a common antimicrobial additive for a variety of applications, incl...
Bladder endometriosis accounts for 70%-85% cases of urinary tract endometriosis. A high index of sus...
Primary care providers, including general practice teams (GPTs), are well positioned within the comm...
In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceu...
Ovarian cancer is associated with poor prognosis. Platinum resistance contributes significantly to t...
Computer assisted cardiotocography holds a great promise in minimizing human errors thereby improvin...
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, ...