Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

3,232 articles
Stay Ahead - Weekly Pregnancy research updates
Subscribe
Browse Specialties
Showing 463-483 of 3,232 articles
Prenatal Diagnostics Using Deep Learning: A Dual Approach to Plane Localization and Cerebellum Segmentation in Ultrasound Images.

OBJECTIVE: The fetal ultrasound examination is the significant task of mid-term pregnancy inspection...

Harnessing AI for enhanced evidence-based laboratory medicine (EBLM).

The integration of artificial intelligence (AI) into laboratory medicine, is revolutionizing diagnos...

Feasibility of remote robot empowered teleultrasound scanning for radioactive patients.

To investigate the feasibility of robot-assisted teleultrasound diagnosis for radioactive patients c...

Untargeted metabolomics and machine learning unveil the exposome and metabolism linked with the risk of early pregnancy loss.

Early pregnancy loss (EPL) may result from exposure to emerging contaminants (ECs), although the und...

Developing an interpretable machine learning model for diagnosing gout using clinical and ultrasound features.

OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for ...

Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...

A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.

Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...

BCT-Net: semantic-guided breast cancer segmentation on BUS.

Accurately and swiftly segmenting breast tumors is significant for cancer diagnosis and treatment. U...

Construction and evaluation of machine learning-based predictive models for early-onset preeclampsia.

OBJECTIVE: To analyze the influencing factors of early-onset preeclampsia (EOPE). And to construct a...

Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy.

BACKGROUND: Intrahepatic cholestasis of pregnancy (ICP) is a liver disorder that occurs in the secon...

Artificial Intelligence in Fetal Growth Restriction Management: A Narrative Review.

This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, par...

Ultrasound Predicts Drug-Induced Sleep Endoscopy Findings Using Machine Learning Models.

OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway me...

Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice ( L.).

Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...

Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods.

With developments in computer science and technology, great progress has been made in three-dimensio...

ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies.

BACKGROUND AND OBJECTIVE: To assess whether conventional brightness-mode (B-mode) transrectal ultras...

K-nearest neighbor algorithm for imputing missing longitudinal prenatal alcohol data.

AIMS: The objective of this study is to illustrate the application of a machine learning algorithm, ...

Browse Specialties