AIMC Topic: Uterine Artery

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Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.

Sensors (Basel, Switzerland)
Performing a minimally invasive surgery comes with a significant advantage regarding rehabilitating the patient after the operation. But it also causes difficulties, mainly for the surgeon or expert who performs the surgical intervention, since only ...

Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.

Long-Term Efficacy of Laparoscopic or Robotic Adenomyomectomy with or without Medical Treatment for Severely Symptomatic Adenomyosis.

Gynecologic and obstetric investigation
BACKGROUND/AIMS: To determine the long-term efficacy of laparoscopic or robotic adenomyomectomy with or without gonadotropin-releasing hormone (GnRH) for the treatment of severely symptomatic adenomyosis.

Robotic-assisted Abdominal Cerclage Placement During Pregnancy and Its Challenges.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To demonstrate a surgical video of 2 cases, in which the steps of robotic-assisted abdominal cerclage placement were delineated in one and a uterine vessel injury was repaired in the other.

A Technique for Vascular Control During Robotic-assisted Laparoscopic Myomectomy.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To show and describe a unique method for improved vascular control when performing a robotic myomectomy.