Obstetrics & Gynecology

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

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Showing 2059-2079 of 2,441 articles
Multimodal ultrasound-based radiomics and deep learning for differential diagnosis of O-RADS 4-5 adnexal masses.

BACKGROUND: Accurate differentiation between benign and malignant adnexal masses is crucial for pati...

Deep learning classification integrating embryo images with associated clinical information from ART cycles.

An advanced Artificial Intelligence (AI) model that leverages cutting-edge computer vision technique...

Explicating the transformative role of artificial intelligence in designing targeted nanomedicine.

INTRODUCTION: Artificial intelligence (AI) has emerged as a transformative force in nanomedicine, re...

How might the rapid development of artificial intelligence affect the delivery of UK Defence healthcare?

Artificial intelligence (AI) has developed greatly and is now at the centre of technological advance...

[WW domain-containing ubiquitin E3 ligase 1 regulates immune infiltration in tumor microenvironment of ovarian cancer].

OBJECTIVES: To explore the association of the expression of WW domain-containing ubiquitin E3 ligase...

Machine-Learning Framework to Predict the Performance of Lipid Nanoparticles for Nucleic Acid Delivery.

Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRN...

Tracking Conditioned Fear in Pair-Housed Mice Using Deep Learning and Real-Time Cue Delivery.

Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that ari...

Artificial Intelligence and Uterine Fibroids: A Useful Combination for Diagnosis and Treatment.

This manuscript examines the role of artificial intelligence (AI) in the diagnosis and treatment of ...

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset.

Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and vari...

Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data.

Cardiotocography (CTG) is widely used in obstetrics to monitor fetal heart rate and uterine contrac...

Unlocking the secrets: Structure-function dynamics of plant proteins.

Plant-based proteins are becoming essential resources for sustainable food systems, pharmaceutical i...

A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images.

Ovarian cancer, a leading cause of cancer-related deaths among women, comprises distinct subtypes ea...

A Mixed-Methods Evaluation of LLM-Based Chatbots for Menopause.

The integration of Large Language Models (LLMs) into healthcare settings has gained significant atte...

Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model.

BACKGROUND: Radiotherapy treatment planning traditionally involves complex and time-consuming proces...

Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols.

BACKGROUND: Individualizing follicle-stimulating hormone (FSH) dosing during controlled ovarian stim...

Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape.

As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organiza...

Optoelectronic-Coupled-Driven Microrobot for Biological Cargo Transport in Conductive Isosmotic Glucose Solution.

Electric field-driven micro/nanorobots, as micro/nanodevices with autonomous motion capability, have...

Leveraging neighborhood-level Information to Improve Model Fairness in Predicting Prenatal Depression.

IMPORTANCE: Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial dis...

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