Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
INTRODUCTION: Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; howeve...
IMPORTANCE: Cervical cancer is highly preventable but remains a common and deadly cancer in areas wi...
BACKGROUND: The aim of this study was to evaluate the efficacy and feasibility of a peri-operative b...
Significant successes in machine learning approaches to image analysis for various applications have...
Alterations in the human microbiome have been observed in a variety of conditions such as asthma, gi...
Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventi...
Remarkable advancements in the computational techniques and nanoelectronics have attracted considera...
Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...
PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahep...
Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and ...
Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resist...
The robotic platform is becoming a multidisciplinary tool, versatile, and suitable for multiple proc...
Biohybrid robotics is a field in which biological entities are combined with artificial materials in...
Accurate medical image segmentation is essential for diagnosis and treatment planning of diseases. C...
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and ...
STUDY OBJECTIVE: Recent studies suggest that prolonged Trendelenburg positioning during robot-assist...
Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrare...
The functionalization of microrobots is essential for realizing their biomedical application in targ...
Single-cell delivery platforms like microinjection and nanoprobe electroporation enable unparalleled...
In the twenty-first century, the collaboration of control engineering and the healthcare sector has ...
Machine learning has been suggested as a means of identifying individuals at greatest risk for hospi...