Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tr...
BACKGROUND: It is difficult to predict normal-sized lymph node metastasis (LNM) in cervical cancer c...
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatic...
Homologous recombination DNA-repair deficiency (HRD) is becoming a well-recognized marker of platinu...
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in...
Care robots have the potential to address the challenge of aging societies, such as labor shortages ...
The newly-emerged pathological conditions and increased rates of drug resistance necessitate applica...
The ability to understand whether embryos survive the thaw process is crucial to transferring compet...
OBJECTIVES: No method is available to determine the non-perfused volume (NPV) repeatedly during magn...
BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the ...
PURPOSE: Speed and accuracy are two critical factors in dose calculation for radiotherapy. Analytica...
Digital imaging, including the use of artificial intelligence, has been increasingly applied to inve...
OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. ...
BACKGROUND: Cervical cancer ranks as the 4th most common female cancer worldwide. Early stage cervic...
In this study, an inter-fraction organ deformation simulation framework for the locally advanced cer...
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-te...
The use of robotic surgery has increased exponentially in the United States. Despite this uptick in ...
BACKGROUND: The P53 gene is critical to the onset and progression of cancers. Currently, relevant st...