Obstetrics & Gynecology

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

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Showing 85-105 of 2,417 articles
Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening.

BACKGROUND: The rapid advancement of artificial intelligence, driven by Generative Pre-trained Trans...

Comparative analysis of ChatGPT 3.5 and ChatGPT 4 obstetric and gynecological knowledge.

Generative Pretrained Transformer (GPT) is one of the most ubiquitous large language models (LLMs), ...

A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images.

Cervical cancer is a major cause of mortality among women, particularly in low-income countries with...

A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images.

Ultrasound guidance images are widely used for high intensity focused ultrasound (HIFU) therapy; how...

An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images.

Ovarian Cancer is a malignancy that develops from ovarian cells and is frequently characterized by a...

Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank.

Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein e...

Identifying ovarian cancer with machine learning DNA methylation pattern analysis.

The majority of patients with epithelial ovarian cancer (EOC) continue to be diagnosed at an advance...

Predicting PLGA nanoparticle size and zeta potential in synthesis for application of drug delivery via machine learning analysis.

This study employed multiple machine learning (ML) methods to model and predict key attributes of PL...

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis...

Identification of volatile organic compound (VOC) as a novel modality for cervical cancer detection.

OBJECTIVE: In this study, we developed a novel detection strategy based on volatile organic compound...

Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm.

Ovarian cancer is one of the deadliest cancers of the female reproductive system, with poor prognosi...

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

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

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

A deep learning based approach for classifying the maturity of cashew apples.

Over 95% of cashew apples are left to waste and rot on the ground. However, both cashew nuts and the...

Mini-review: Perioperative pain management in gynecologic oncology - strategies and future directions.

This mini-review discusses important factors in opioid use in gynecologic oncology in the perioperat...

A Multicentre Comparative Analysis of Radiomics, Deep-learning, and Fusion Models for Predicting Postpartum Hemorrhage.

RATIONALE AND OBJECTIVE: This study compared the capabilities of two-dimensional (2D) and three-dime...

Multimodal Deep Learning Based on Ultrasound Images and Clinical Data for Better Ovarian Cancer Diagnosis.

This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscal...

Unravelling the multifaceted actions of neurosteroids: Machine learning and in vitro screening for novel target discovery.

BACKGROUND AND PURPOSE: Neurosteroids (NS) modulate neuronal function and are promising therapeutic ...

Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a ...

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