Obstetrics & Gynecology

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

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Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology.

This study aims to create a deep learning-based classification model for cervical cancer biopsy befo...

A deep learning tissue classifier based on differential co-expression genes predicts the pregnancy outcomes of cattle†.

Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies foun...

[Diagnostic performance evaluation of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination].

To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in ce...

Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

OBJECTIVE: To develop machine learning models, facilitate a more accurate diagnosis of ovarian cance...

Artificial intelligence-driven analysis of embryo morphokinetics in singleton, twin, and triplet pregnancies.

In recent years, the transfer of more than one embryo has become less frequent to diminish multiple ...

Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-staine...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait loci.

Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...

Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language proc...

Ovarian-adnexal reporting and data system MRI scoring: diagnostic accuracy, interobserver agreement, and applicability to machine learning.

OBJECTIVES: To evaluate the interobserver agreement and diagnostic accuracy of ovarian-adnexal repor...

A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.

OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification...

Pyroptosis-Related Gene Signatures Enable Robustly Diagnosis, Prognosis and Immune Responses Prediction in Uterine Corpus Endometrial Carcinoma.

Uterine corpus endometrial carcinoma (UCEC) is a gynecological malignancy with poor prognosis and h...

Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms.

BACKGROUND: Programmed cell death (PCD) refers to a regulated and active process of cellular demise,...

Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.

OBJECTIVE: Lymph node metastasis (LNM) critically determines recurrence and survival in cervical can...

Nanocarrier-based targeted drug delivery for Alzheimer's disease: addressing neuroinflammation and enhancing clinical translation.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...

The taming of sociodigital anticipations: AI in the digital welfare state.

Advanced algorithmic technologies and artificial intelligence (AI) are projected to profoundly impac...

Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review.

Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to convention...

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