Obstetrics & Gynecology

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

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Showing 148-168 of 2,417 articles
TRAF3 as a potential diagnostic biomarker for recurrent pregnancy loss: insights from single-cell transcriptomics and machine learning.

BACKGROUND: Recurrent pregnancy loss (RPL), characterized by multiple miscarriages, remains a condit...

Predicting Pregnant Women's Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System.

BACKGROUND: Abortion is an important and controversial issue and one of the important reasons for th...

HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images.

Accurate measurement of hallux valgus angle (HVA) and intermetatarsal angle (IMA) is essential for d...

Recent Advances in Applications of Machine Learning in Cervical Cancer Research: A Focus on Prediction Models.

Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...

CervicalMethDx: a precision DNA methylation test to identify risk of high-grade intraepithelial lesions in cervical cancer screening algorithms.

Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...

Menopausal hormone therapy and the female brain: Leveraging neuroimaging and prescription registry data from the UK Biobank cohort.

BACKGROUND: Menopausal hormone therapy (MHT) is generally thought to be neuroprotective, yet results...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Development of CSOARG: a single-cell and multi-omics-based machine learning model for ovarian cancer prognosis and drug response prediction.

OBJECTIVE: Ovarian cancer is the most deadly gynaecological malignancy. This study aims to generate ...

AI-Augmented Advances in the Diagnostic Approaches to Endometrial Cancer.

BACKGROUND: Endometrial cancer (EC) is the most common gynecological malignancy in developed countri...

An automatic approach for the classification of lumpy skin disease in cattle.

Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming...

Empirical Mode Decomposition and Grassmann Manifold-Based Cervical Cancer Detection.

Cervical cancer is a prevalent malignancy affecting the female reproductive system and is recognized...

Magnetoliposomes for nanomedicine: synthesis, characterization, and applications in drug, gene, and peptide delivery.

INTRODUCTION: Magnetoliposomes represent a transformative advancement in nanomedicine by integrating...

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...

PlaNet-S: an Automatic Semantic Segmentation Model for Placenta Using U-Net and SegNeXt.

This study aimed to develop a fully automated semantic placenta segmentation model that integrates t...

Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategi...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...

Machine learning and deep learning to improve overall survival prediction in cervical cancer patients.

BACKGROUND: Cervical cancer (CC) is one of the most common gynecological malignancies. Previous stud...

Radiomics based on dual-energy CT for noninvasive prediction of cervical lymph node metastases in patients with nasopharyngeal carcinoma.

INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomogra...

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