Obstetrics & Gynecology

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

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Showing 1996-2016 of 2,441 articles
Robotics-assisted mass spectrometry assay platform enabled by open-source electronics.

Mass spectrometry (MS) is an important analytical technique with numerous applications in clinical a...

Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods.

BACKGROUND: Multiple embryo transfers in in vitro fertilization (IVF) treatment increase the number ...

Diagnosis of uterine diseases by label-free serum SERS fingerprints with machine learning.

Early detection of uterine diseases is critically important for women's reproductive health. Here, w...

Machine learning approaches for the prediction of retained placenta in dairy cows.

Retained placenta (RP) is a reproductive disorder that causes significant financial losses to the da...

[Development of a machine learning-based diagnostic model for T-shaped uterus using transvaginal 3D ultrasound quantitative parameters].

To develop a machine learning diagnostic model for T-shaped uterus based on quantitative parameters...

Supporting Personalized prEgnancy Care wIth Artificial inteLligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform.

Postpartum depression (PPD) affects approximately 20% of pregnant individuals, yet half of these cas...

Predicting Postpartum Depression Risk Using Social Determinants of Health.

Postpartum depression (PPD) affects approximately 20% of women after childbirth and has complex etio...

Updates and advances for gynecologic imaging.

A gynecologic malignancy is one of the most common cancers affecting females and is responsible for ...

Multi-Target Drug Design in Alzheimer's Disease Treatment: Emerging Technologies, Advantages, Challenges, and Limitations.

Alzheimer's disease (AD) is a complex and multifactorial neurodegenerative disorder, recognized as t...

Evaluating the added value of salivary hormones in the context of menstrual cycle staging: A machine learning approach and app-implementation.

OBJECTIVE: Salivary hormone assessment is commonly used in menstrual cycle studies, but its validity...

Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.

BACKGROUND: Endometrial cancer (EC) is the 6th most common cancer among women worldwide. No effectiv...

DEMAC-Net: A Dual-Encoder Multiattention Collaborative Network for Cervical Nerve Pathway and Adjacent Anatomical Structure Segmentation.

OBJECTIVE: Currently, cervical anesthesia is performed using three main approaches: superficial cerv...

Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning.

: Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovaria...

Artificial intelligence models using F-wave responses predict amyotrophic lateral sclerosis.

Nerve conduction F-wave studies contain crucial information about subclinical motor dysfunction that...

Leveraging Whole-Exome Sequencing and Mutational Signatures to Detect Homologous Recombination Deficiency in Cancer.

Homologous recombination is a high-fidelity DNA repair mechanism essential for maintaining genome st...

HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data.

UNLABELLED: Breast and ovarian cancers harboring homologous recombination deficiency (HRD) are sensi...

Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.

Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, the...

Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System.

BACKGROUND: Medical technologies powered by artificial intelligence are quickly transforming into pr...

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