Obstetrics & Gynecology

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

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Showing 379-399 of 2,417 articles
A robust and generalized framework in diabetes classification across heterogeneous environments.

Diabetes mellitus (DM) represents a major global health challenge, affecting a diverse range of demo...

An automatic cervical cell classification model based on improved DenseNet121.

The cervical cell classification technique can determine the degree of cellular abnormality and path...

Pregnancy-Induced Cardiomyopathy: What Case Managers Need to Know.

A new form of stethoscope with artificial intelligence (AI) capabilities may make the difference bet...

A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study.

BACKGROUND: The current cervical cancer screening and diagnosis have limitations due to their subjec...

MR-linac: role of artificial intelligence and automation.

The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during ...

Results comparison of cervical cancer early detection using cerviray ® with VIA test.

OBJECTIVES: This study investigates the performance of artificial intelligence (AI) technology, name...

Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis.

RATIONALE AND OBJECTIVES: The aim of this study was to compare the image quality of a deep learning ...

Development and application of a machine learning-based antenatal depression prediction model.

BACKGROUND: Antenatal depression (AND), occurring during pregnancy, is associated with severe outcom...

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

BACKGROUND: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts ...

CT-based Machine Learning Radiomics Modeling: Survival Prediction and Mechanism Exploration in Ovarian Cancer Patients.

RATIONALE AND OBJECTIVES: To create a radiomics model based on computed tomography (CT) to predict o...

Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study.

We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in ea...

Effects of exogenous insulin supplementation on lipid metabolism in peripartum obese dairy cows.

Cows with high body condition scores experience more severe negative energy balance (NEB) and underg...

Optimizing automated photo identification for population assessments.

Several legal acts mandate that management agencies regularly assess biological populations. For spe...

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