Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Artificial insemination (AI) was the first important biotechnology applied to improve the genetics o...
OBJECTIVE: To develop and evaluate the performance of U-Net for fully automated localization and seg...
Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis...
Pulse feeling , representing the tactile arterial palpation of the heartbeat, has been widely used i...
Growth factor delivery using acellular matrices presents a promising alternative to current treatmen...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...
Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there is a pressing ...
This review aims to describe changes in production environment, management tools and technology to a...
Digitization of interstitial needles is a complicated and tedious process for the treatment planning...
We engineered light-gated channelrhodopsins (ChRs) whose current strength and light sensitivity enab...
: There is growing emphasis on the development of bioinspired and biohybrid micro/nanorobots for the...
Differential gene expression analysis is an important technique for understanding disease states. Th...
As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pat...
BACKGROUND AND OBJECTIVE: We investigated a novel method using a 2D convolutional neural network (CN...
Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive syste...
BACKGROUND: The integration of artificial intelligence (AI) into our digital healthcare system is se...
Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with o...
STUDY DESIGN: Retrospective cohort study.
BACKGROUND: This study was performed to evaluate the clinical feasibility of a U-net for fully autom...
STUDY OBJECTIVE: To describe a robotic approach to excision of full-thickness diaphragmatic endometr...