Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
The integration of artificial intelligence (AI) into laboratory medicine, is revolutionizing diagnos...
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot positi...
Insulin resistance (IR) is the core for type 2 diabetes and metabolic syndrome. The homeostasis asse...
Early pregnancy loss (EPL) may result from exposure to emerging contaminants (ECs), although the und...
OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is particularly prev...
The accurate classification of menstrual cycle phases and detection of ovulation is critical for wom...
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...
BACKGROUND/OBJECTIVES: The incidence of acute kidney injury (AKI) following advanced epithelial ovar...
AIMS: The objective of this study is to illustrate the application of a machine learning algorithm, ...
Diabetes mellitus (DM) represents a major global health challenge, affecting a diverse range of demo...
BACKGROUND: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's li...
The cervical cell classification technique can determine the degree of cellular abnormality and path...
OBJECTIVE: This study aimed to develop an ultrasound image-based radiomics model for diagnosing cerv...
A new form of stethoscope with artificial intelligence (AI) capabilities may make the difference bet...
OBJECTIVES: The development of valuable artificial intelligence (AI) tools to assist with ultrasound...
BACKGROUND: Birth-related mortality is significantly increased by home births without skilled medica...
BACKGROUND: The ability to predict the prognosis of patients with ovarian cancer can greatly improve...
AIM: o point out how novel analysis tools of AI can make sense of the data acquired during OL and OC...
PURPOSE: Clinical variables alone have limited ability to determine which patients will have recurre...
The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during ...