Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Understanding and extracting valuable information from electronic health records (EHRs) ...
Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-c...
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Pre...
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...
Prostate cancer is one of the major health challenges in the world and needs novel therapeutic appro...
BACKGROUND: Artificial intelligence (AI) methods, including machine learning and deep learning, are ...
BACKGROUND: The COVID-19 pandemic has significantly strained health care systems globally, leading t...
To develop a deep learning model using transfer learning for automatic detection and segmentation of...
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...
OBJECTIVES: This study aimed to develop a multimodal radiopathomics model utilising preoperative ult...
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, ...
BACKGROUND: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's li...