The journal of obstetrics and gynaecology research
40344352
AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive symptoms, acute stress reaction, and serum neurotransmitters in patients undergoing total hysterectomy.
OBJECTIVE: To compare long-term oncologic outcomes in patients with clinically uterine-confined endometrioid endometrial cancer who underwent surgical staging with robot-assisted (RA) versus conventional laparoscopy.
STUDY OBJECTIVE: To evaluate the impact of gynecologic subspecialty training on surgical outcomes in benign minimally invasive hysterectomies (MIHs) while accounting for surgeon volume.
To evaluate the usefulness of robot-assisted total laparoscopic hysterectomy with four equally-spaced ports (RA-TLH/4e) without an assistant port. In RA-TLH/4e, four da Vinci ports were placed horizontally at a height of 4 cm above the umbilicus with...
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
38546527
OBJECTIVE: The analysis of surgical videos using artificial intelligence holds great promise for the future of surgery by facilitating the development of surgical best practices, identifying key pitfalls, enhancing situational awareness, and dissemin...
In this report, we described a new technique of gasless V-NOTES for hysterectomy and salpingectomy on a robotic platform with flexible devices in a porcine model. As a result, the gynecological procedures were successfully completed. The total operat...
The journal of obstetrics and gynaecology research
38689519
AIM: To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) within 30 days after hysterectomy among gynecological malignant tumor patients, and to explore the value of machine learning (ML) models in VTE occurren...
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 ...
OBJECTIVE: We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS).
JSLS : Journal of the Society of Laparoendoscopic Surgeons
39831273
BACKGROUND AND OBJECTIVES: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to b...