AIMC Topic: Uterine Diseases
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Advancing intrauterine adhesion severity prediction: Integrative machine learning approach with hysteroscopic cold knife system, clinical characteristics and hematological parameters.
Computers in biology and medicine
May 13, 2024
Intrauterine Adhesion (IUA) constitute a significant determinant impacting female fertility, potentially leading to infertility, miscarriage, menstrual irregularities, and placental complications. The precise assessment of the severity of IUA is pivo...
Comparison of quality of life after robotic-transvaginal natural orifice transluminal endoscopic surgery and robot-assisted laparoscopic hysterectomy.
European journal of obstetrics, gynecology, and reproductive biology
Aug 7, 2023
OBJECTIVES: We investigated quality of life (QOL) of patients who underwent total hysterectomy for benign uterine diseases using two surgical approaches: robotic-transvaginal natural orifice transluminal endoscopic surgery (R-vNOTES) and robot-assist...
Vesicouterine Fistula: A Robotic Approach.
International urogynecology journal
Aug 10, 2021
INTRODUCTION AND HYPOTHESIS: This video demonstrates surgical repair of a vesicouterine fistula via a robotic, uterine-sparing approach.
Deep learning model for classifying endometrial lesions.
Journal of translational medicine
Jan 6, 2021
BACKGROUND: Hysteroscopy is a commonly used technique for diagnosing endometrial lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as each type of lesion has a distinct treatment, and judgments of hysterosc...
Robotic repair of the symptomatic vesicouterine fistula.
International urogynecology journal
Oct 20, 2020
A Novel Robotic Endoscopic Device Used for Operative Hysteroscopy.
Journal of minimally invasive gynecology
Jun 12, 2020
To trial the use of a novel endoscopic robot that functions using concentric tube robots, enabling 2-handed surgery in small spaces, in a bioengineering laboratory. This was a feasibility study of the endoscopic robot for hysteroscopic applications, ...
Diagnosis of uterine diseases by label-free serum SERS fingerprints with machine learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2025
Early detection of uterine diseases is critically important for women's reproductive health. Here, we propose a novel and robust serum-based SERS analysis platform that integrates machine learning algorithms. This is the first application of it in th...
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