Obstetrics & Gynecology

Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.

3,074 articles
Stay Ahead - Weekly Obstetrics & Gynecology research updates
Subscribe
Browse Categories
Showing 2710-2730 of 3,074 articles
GlucoseGo: A Simple, User-Friendly, Machine Learning-Derived Tool for Predicting Exercise-Related Hypoglycaemia Risk in Type 1 Diabetes

This study aims to develop an accessible, machine learning-derived tool for people with type 1 diabe...

Development and validation of diagnostic and prognostic prediction tools for dental caries in young children: A protocol

Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. I...

MenstLLaMA: A Specialized Large Language Model for Menstrual Health Education in India

The quality and accessibility of menstrual health education in developing nations, including India, ...

Steroid Metabolome Profiling Identifies a Unique Androgen Hormone Signature Associated with Endometriosis

Endometriosis is a chronic, hormone-dependent condition that affects 190 million women worldwide. Th...

Leveraging neighborhood-level Information to Improve Model Fairness in Predicting Prenatal Depression

Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...

USING ARTIFICIAL INTELLIGENCE TO PREDICT TREATMENT OUTCOMES IN PATIENTS WITH NEUROGENIC OVERACTIVE BLADDER AND MULTIPLE SCLEROSIS

Many women with multiple sclerosis (MS) experience neurogenic overactive bladder (NOAB) characterize...

Adolescent engagement and sentiment toward reproductive-health videos on Chinese social media: a cross-sectional content analysis

Adolescent reproductive health information is increasingly sought on social-media platforms, yet the...

Regulatory risk loci link disrupted androgen response to pathophysiology of Polycystic Ovary Syndrome

A major challenge in deciphering the complex genetic landscape of Polycystic Ovary Syndrome (PCOS) l...

Clinical-grade autonomous cytopathology via whole-slide edge tomography

Cytopathology plays a central role in the early detection of cancers such as cervical, lung, and bla...

Predicting Utilization of Emergency Contraceptive Usage in Ethiopia and Identifying Its Predictors Using Machine Learning

Despite policy support, inappropriate use of emergency contraception (EC) in Ethiopia contributes to...

CausalDRIFT: Causal Dimensionality Reduction via Inference of Feature Treatments for Robust Healthcare Machine Learning

High-dimensional medical datasets present challenges in feature selection, where traditional methods...

Artificial intelligence in prenatal ultrasound: A systematic review of diagnostic tools for detecting congenital anomalies

Artificial intelligence (AI) has potentially shown promise in interpreting ultrasound imaging throug...

A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models

PCOS is recognized as a major health concern affecting women around the world. Early detection and t...

Translation of miRNA blood-based discovery to molecular testing for clinical diagnosis of endometriosis

Endometriosis is a common yet often underdiagnosed condition, partly due to the lack of reliable dia...

Association between zidovudine and adverse pregnancy outcomes/congenital malformations: A pharmacovigilance study using FAERS data

Zidovudine (AZT), a key antiretroviral drug used for HIV treatment and preventing mother-to-child tr...

Concordant and discordant gene expression signatures of twin placentas in the setting of preeclampsia

Multifetal pregnancies are associated with increased risk for preeclampsia (PreE), but the underlyin...

Browse Categories