Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
In recent years, there has been massive progress in artificial intelligence (AI) with the developmen...
OBJECTIVE: To investigate the expression and significance of NOD1 (nucleotide oligomerization domain...
The efficacy of several protocols for ovulation synchronization and timed artificial insemination (T...
In this study, a drug delivery system for chemo-hyperthermia applications is proposed and fabricated...
Cervical cancer is the leading cancer in women around the world. In this paper, Adaptive Neuro Fuzzy...
PURPOSE: To study the association between stromal cell-derived factor-1 (SDF-1/CXCL12) and vascular ...
OBJECTIVES: Nerve-sparing radical hysterectomy has been implemented in order to reduce pelvic floor ...
INTRODUCTION: Twin-to-twin transfusion syndrome (TTTS) is a potentially lethal condition that affect...
BACKGROUND: Cervical cancer is the fifth most common cancer among women, which is the third leading ...
Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's j...
Currently, microrobots are receiving attention because of their small size and motility, which can b...
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas ba...
BACKGROUND AND PURPOSE: Recurrence is the main risk for high-grade serous ovarian cancer (HGSOC) and...
OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequ...
Studies involving different methods and techniques of cryopreservation and its interactions with the...
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic de...
Microarray technology is utilized by the biologists, in order to compute the expression levels of th...
Despite the progress in the area of food safety, foodborne diseases still represent a massive challe...
This study aimed to evaluate the effectiveness of estrous detection technique based on continuous me...
Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment...