Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
OBJECTIVES: This study aimed to develop five different supervised machine learning (ML) classifier m...
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap...
OBJECTIVE: To investigate the effect of using magnifying loupes during surgery on surgical outcomes ...
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily ...
BACKGROUND: Sanjie Zhentong capsule (SZC) offers excellent effect in treating adenomyosis (AM), whic...
We report detection of cervical pre-cancer through their low coherence images by applying two dimens...
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using comput...
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of p...
Preterm birth, defined as a delivery before 37 weeks' gestation, continues to affect 8-15% of all pr...
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it c...
Despite significant dosimetric gains, clinical implementation of the 4Ï€ non-coplanar radiotherapy on...
PURPOSE: The integral quality monitor (IQM) is a real-time radiotherapy beam monitoring system, whic...
Nearly half of all Americans will develop cancer at least once in their lifetime. Through improved s...
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Spec...
PURPOSES: Multileaf collimator (MLC) positional accuracy during dynamic intensity modulation radioth...
BACKGROUND: Ovarian torsion is a common concern in girls presenting to emergency care with pelvic or...
In the United States and Europe, endometrial endometrioid carcinoma (EEC) is the most prevalent gyn...
Machine learning and deep learning methods aims to discover patterns out of datasets such as, microa...
In this technical article, we are proposing ideas, that we have been developing on how machine learn...
Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. S...
Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the dif...