Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
With the advent of artificial intelligence that not only can learn from us but also can communicate ...
OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM)...
STUDY DESIGN: A retrospective cohort study from a multisite academic medical center.
The eyes possess sophisticated physiological structures, diverse disease targets, limited drug deliv...
OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) proc...
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in impr...
PURPOSE: Endometrial histology on hematoxylin and eosin (H&E)-stained preparations provides informat...
BACKGROUND AND OBJECTIVE: Deep learning is applied in medicine mostly due to its state-of-the-art pe...
. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures d...
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic indicat...
Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...
To establish a deep learning (DL) model in differentiating borderline ovarian tumor (BOT) from epith...
Despite the creation of thousands of machine learning (ML) models, the promise of improving patient ...
PURPOSE: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher ...
This paper introduces the adaptive fuzzy control scheme as a promising control technique for cancer ...
STUDY DESIGN: Cross-sectional study.
STUDY OBJECTIVE: To explore the use of indocyanine green (ICG) in highlighting ureteral anatomical l...
Medical microrobotics is an emerging field that aims at non-invasive diagnosis and therapy inside th...
There has been a tremendous increase in the investigations of three-dimensional (3D) printing for bi...
The placenta is crucial to fetal well-being and it plays a significant role in the pathogenesis of h...
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectati...