Latest AI and machine learning research in infertility for healthcare professionals.
AIM: The learning curve has implications for efficient surgical training. Robotic surgery is perceiv...
BACKGROUND AND OBJECTIVE: Infertility affects approximately one in ten couples, and almost half of t...
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of ferti...
Segmentation of ovary and follicles from 3D ultrasound (US) is the crucial technique of measurement ...
Robotic-assisted surgery for the management of hepatic echinococcosis was introduced in 2016. The ad...
STUDY OBJECTIVE: To describe the surgical techniques and short-term outcomes for 33 cases of robot-a...
Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requ...
BACKGROUND: Within surgery, assistive robotic devices (ARD) have reported improved patient outcomes....
STUDY OBJECTIVE: To demonstrate a technique for robot-assisted laparoscopic excision of abdominal wa...
Infertility rates and the number of couples seeking fertility care have increased worldwide over the...
The prediction of poor ovarian response (POR) for stratified interference is a critical clinical iss...
RESEARCH QUESTION: Can artificial intelligence (AI) improve the prediction of live births based on e...
Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality manag...
BACKGROUND: Infertility is a significant problem of humanity. In vitro fertilisation is one of the m...
Radical prostatectomy (RP) is the first-line treatment modality for prostate cancer and can be perf...