Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to de...
Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial ...
Postpartum pain encompasses a range of physical and emotional discomforts, often influenced by hormo...
BACKGROUND: Labor anesthesia is commonly used for pain relief during labor, but it can increase the ...
Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occur...
Infertility, recognized by the World Health Organization (WHO) as a disease affecting the male or fe...
The capacity to forecast nonreassuring fetal heart (NFH) is essential for minimizing perinatal compl...
Homologous recombination deficiency (HRD) is a well-recognized important biomarker in determining th...
Women should be aware of prenancy related health issues. A user-friendly model is developed in which...
BACKGROUND: Homologous recombination deficiency (HRD) refers to the dysfunction of homologous recomb...
To evaluate the clinical performance and safety of the ONIRY system for obstetric anal sphincter inj...
Regulating inflammatory microglia presents a promising strategy for treating neurodegenerative and a...
BACKGROUND: WenXinWuYang, a novel portable Artificial Intelligence Electrocardiogram (AI-ECG) device...
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine lea...
OBJECTIVE: Â Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, ...
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to ...
OBJECTIVES: This study aimed to develop an artificial intelligence-assisted model for the preoperati...
OBJECTIVE: To determine whether readily available patient, ultrasound and treatment outcome data can...
The key roles of Major Histocompatibility Complex (MHC) Class I and II molecules in the immune syste...
The rapid deployment of COVID-19 vaccines has necessitated the ongoing surveillance of adverse event...
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm...