AIMC Topic: Uterine Neoplasms
Clear Filters Showing 11 to 20 of 49 articles
Use of natural language processing to uncover racial bias in obstetrical documentation.
Clinical imaging
Apr 21, 2024
Natural Language Processing (NLP), a form of Artificial Intelligence, allows free-text based clinical documentation to be integrated in ways that facilitate data analysis, data interpretation and formation of individualized medical and obstetrical ca...
Deep learning-accelerated T2-weighted imaging versus conventional T2-weighted imaging in the female pelvic cavity: image quality and diagnostic performance.
Acta radiologica (Stockholm, Sweden : 1987)
Feb 11, 2024
BACKGROUND: The deep learning (DL)-based reconstruction algorithm reduces noise in magnetic resonance imaging (MRI), thereby enabling faster MRI acquisition.
Efficacy of stereotactic body radiotherapy and response prediction using artificial intelligence in oligometastatic gynaecologic cancer.
Gynecologic oncology
Jan 24, 2024
PURPOSE: We present a large real-world multicentric dataset of ovarian, uterine and cervical oligometastatic lesions treated with SBRT exploring efficacy and clinical outcomes. In addition, an exploratory machine learning analysis was performed.
Robot-assisted laparoscopic myomectomy: Technique & brief literature review.
Best practice & research. Clinical obstetrics & gynaecology
Dec 24, 2023
The worldwide growth of robot-assisted laparoscopic surgery has been exponential since its FDA approval for use in gynecologic surgery in the spring of 2005. This growth has spanned the entire gamut of gynecologic procedures and pathology. One area t...
The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma.
Journal of gynecologic oncology
Dec 7, 2023
OBJECTIVE: Magnetic resonance imaging (MRI) is efficient for the diagnosis of preoperative uterine sarcoma; however, misdiagnoses may occur. In this study, we developed a new artificial intelligence (AI) system to overcome the limitations of requirin...
Efficacy and safety of robot-assisted laparoscopic myomectomy versus laparoscopic myomectomy: a systematic evaluation and meta-analysis.
World journal of surgical oncology
Jul 28, 2023
OBJECTIVE: Systematic evaluation of the efficacy and safety of robotic-assisted laparoscopic myomectomy (RALM) versus laparoscopic myomectomy (LM).
Real-Time Automatic Assisted Detection of Uterine Fibroid in Ultrasound Images Using a Deep Learning Detector.
Ultrasound in medicine & biology
Apr 28, 2023
OBJECTIVE: Uterine smooth muscle hyperplasia causes a tumor called a uterine fibroid. With an incidence of up to 30%, it is one of the most prevalent tumors in women and has the third highest prevalence of all gynecological illnesses. Although uterin...
Three-dimensional imaging reconstruction and laparoscopic robotic surgery: a winning combination for a complex case of multiple myomectomy.
Fertility and sterility
Apr 20, 2023
OBJECTIVE: To demonstrate the intraoperative use of three-dimensional (3D) imaging reconstruction for a complex case of multiple myomectomy assigned to robot-assisted laparoscopic surgery.
Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids.
European radiology
Dec 6, 2022
OBJECTIVES: No method is available to determine the non-perfused volume (NPV) repeatedly during magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) ablations of uterine fibroids, as repeated acquisition of contrast-enhanced T1-weigh...
Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases.
Scientific reports
Nov 16, 2022
Uterine sarcomas have very poor prognoses and are sometimes difficult to distinguish from uterine leiomyomas on preoperative examinations. Herein, we investigated whether deep neural network (DNN) models can improve the accuracy of preoperative MRI-b...
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