Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in...
OBJECTIVES: The accuracy of robotic surgery has been recognized by many doctors, but traditional rob...
Pathology plays a very important role in cancer diagnosis. The rapid development of digital patholog...
Non-invasive ischemic cancer therapy requires reduced blood flow whereas drug delivery and radiation...
BACKGROUND: According to the US Bureau of Labor Statistics, nurses will be the largest labor pool in...
INTRODUCTION: Ovarian cancer (OC) is one of the most frequent gynecologic cancers among women, and h...
INTRODUCTION: Aerosol delivery from DPIs could be affected by different factors. This study aimed to...
OBJECTIVE: To determine the cost of achieving a live birth after first transfer using highly purifie...
PURPOSE: This study investigated deep learning models for automatic segmentation to support the deve...
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incomi...
INTRODUCTION: Predicting a woman's probability of vaginal birth after cesarean could facilitate the ...
Antenatal screening for beta thalassemia trait (BTT) followed by counseling of couples is an efficie...
BACKGROUND AND OBJECTIVES: Despite recent advances in artificial intelligence for medical images, th...
An increasing number of delivering women experience major morbidity and mortality. Limited work has ...
INTRODUCTION: Obstetrical ultrasound imaging is critical in identifying at-risk pregnancies and info...
OBJECTIVES: There currently lacks a noninvasive and accurate method to distinguish benign and malign...
RESEARCH QUESTION: Is abnormal gene module expression in the eutopic endometrium related to the occu...
OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured f...
OBJECTIVE: To describe fertility characteristics, outcomes of oocyte cryopreservation cycles, and sa...
PURPOSE: The delineation of the clinical target volume (CTV) is a crucial, laborious and subjective ...
Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). ...