European journal of obstetrics, gynecology, and reproductive biology
Jun 3, 2024
BACKGROUND: In recent years, the integration ofArtificial intelligence (AI) into various fields of medicine including Gynaecology, has shown promising potential. Surgical treatment of fibroid is myomectomy if uterine preservation and fertility are th...
PURPOSE: Uterine fibroids (UF) are the most frequent tumors in ladies and can pose an enormous threat to complications, such as miscarriage. The accuracy of prognosis may also be affected by way of doctor inexperience and fatigue, underscoring the wa...
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...
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.
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...
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...
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.
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibilit...
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