Latest AI and machine learning research in fibroids for healthcare professionals.
Objective: To develop and validate a robust deep-learning model capable of fine-grained phase recognition in total hysterectomy, particularly the complex periuterine dissection phase. Design: Multicentre retrospective observational study. Setting: Japan. Sample: Surgical videos (n = 764) from 43 institutions. Methods: We developed a robust and generalisable deep-learning model for surgical phase r...
BACKGROUND: Uterine sarcoma is a gynecological mesenchymal tumor with an elusive pathogenesis. The uterine leiomyosarcoma (LMS) is the most common subtype of uterine sarcoma. LMS is a highly aggressive tumor with a poor prognosis. The genomic landscape of LMS remains unclear. Rare cases of LMS are observed to arise from leiomyoma (LM). We conducted a study to explore the genomic relationship betwe...
This manuscript examines the role of artificial intelligence (AI) in the diagnosis and treatment of uterine fibroids and uterine sarcomas, offering a ...
The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectomy, peritoneal washings with or without bilateral p...
AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive symptoms, acute stress reaction, and serum neurotra...
Endometrial cancer (EC) incidence and the associated tumour burden have increased globally. To build a molecular expression prognostic model based on ...
To evaluate whether large language models (LLMs) applied to prenatal clinical notes can predict postpartum hemorrhage (PPH) prior to the onset of labo...
BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but is sometimes associated with intraoperative vasocon...
The incidence of ectopic choriocarcinoma with primary localization in the uterine cervix is extremely low, with less than hundred cases reported in th...
RATIONALE: Extrauterine leiomyoma occasionally occurs in rare locations with unusual growth patterns, especially pelvic retroperitoneal leiomyoma, whi...
We report a case of giant hysteromyoma and complex pelvic adhesion treated by robotic assisted laparoscopic total hysterectomy and bilateral salpingec...
BACKGROUND AND OBJECTIVES: Robot-assisted laparoscopic hysterectomy is a safe and feasible approach in patients with higher body mass index (BMI). Sli...
No large clinical trials have been conducted to prove the efficacy of peritoneal dissemination resection for colorectal cancer, and no evidence has sh...
Within the last 10 years there have been significant advances in minimal-access surgery. Although no emerging technology has demonstrated improved out...
Once the decision to perform a hysterectomy has been made, the type and route of hysterectomy must be chosen, and efforts made to accomplish the surge...
This thesis contains four studies all focusing on women with endometrial cancer undergoing robotic-assisted laparoscopic hysterectomy (RALH). Women wi...
PURPOSE: The purpose of this study was to examine the impact of robotic-assisted laparoscopic hysterectomy (RALH) compared with total abdominal hyster...
OBJECTIVES: The objective of this study is to determine (1) if there is a relationship between increasing body mass index (BMI) and postoperative comp...
AIM: to compare surgical outcomes and health-related quality of life (HRQOL) between total laparoscopic (TLRH) and total robotic radical hysterectomy ...