Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Deep learning technology has been used in the medical field to produce devices for clinical practice...
BACKGROUND: Slow progression of labor is a common obstetrical problem with multiple associated compl...
BACKGROUND: The diagnosis of prenatal placenta accreta spectrum (PAS) with magnetic resonance imagin...
OBJECTIVES: To develop an artificial intelligence (AI) system for predicting cervical lymph node met...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of ce...
About one in ten babies is born preterm, i.e., before completing 37 weeks of gestation, which can re...
BACKGROUND: The preoperative diagnosis of peritoneal metastasis (PM) in epithelial ovarian cancer (E...
OBJECTIVE: Uterine smooth muscle hyperplasia causes a tumor called a uterine fibroid. With an incide...
Visual inspection with acetic acid (VIA) is a pre-cancerous screening program for low-middle-income ...
PURPOSE OF REVIEW: To evaluate factors contributing to the development of work-related musculoskelet...
The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically affe...
Remotely powered microrobots are proposed as next-generation vehicles for drug delivery. However, mo...
OBJECTIVE: Ovarian cancer is a significant health issue with lasting impacts on the community. Despi...
Cervical cancer is the most common reproductive malignancy in the female reproductive system. The in...
BACKGROUND: The aim was to develop a personalized survival prediction deep learning model for cervic...
Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of ...
Inhibition of pathological angiogenesis has become one of the first FDA approved targeted therapies ...
. In radiotherapy, the internal movement of organs between treatment sessions causes errors in the f...
The goal of this study was to perform a pilot study to assess user-interface of radiologists with an...
RESEARCH QUESTION: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics ...
PURPOSE: To develop and validate a deep learning (DL) model for detecting lumbar degenerative diseas...