Obstetrics & Gynecology

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

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Showing 232-252 of 2,417 articles
Understanding contraceptive switching rationales from real world clinical notes using large language models.

Understanding reasons for treatment switching is of significant medical interest, but these factors ...

The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome.

UNLABELLED: Endometriosis (EM) and adenomyosis (AM) are interrelated gynecological disorders charact...

Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.

This study aimed to explore potential risk factors for severe endometriosis and to develop a model t...

Practical applications of artificial intelligence chatbots in obstetrics and gynecology medical education.

Generative artificial intelligence chatbots are sophisticated conversational artificial intelligence...

A random forest-based predictive model for classifying BRCA1 missense variants: a novel approach for evaluating the missense mutations effect.

The right classification of variants is the key to pre-symptomatic detection of disease and conducti...

ULK2 deficiency stratifies autophagy-driven molecular subtypes and exacerbates trophoblasts apoptosis in preeclampsia.

INTRODUCTION: Preeclampsia (PE), a placenta-originated hypertensive disorder of pregnancy, lacks tar...

Diagnosis Test Accuracy of Artificial Intelligence for Endometrial Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: Endometrial cancer is one of the most common gynecological tumors, and early screening a...

Fully Automated Online Adaptive Radiation Therapy Decision-Making for Cervical Cancer Using Artificial Intelligence.

BACKGROUND: Interfraction variations during radiation therapy pose a challenge for patients with cer...

Development and Validation an AI Model to Improve the Diagnosis of Deep Infiltrating Endometriosis for Junior Sonologists.

OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ul...

A machine learning-based framework for predicting postpartum chronic pain: a retrospective study.

BACKGROUND: Postpartum chronic pain is prevalent, affecting many women after delivery. Machine learn...

A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides.

Current artificial intelligence (AI) trends are revolutionizing medical image processing, greatly im...

A method for predicting postpartum depression via an ensemble neural network model.

INTRODUCTION: Postpartum depression (PPD) has numerous adverse impacts on the families of new mother...

Recent advances in cutaneous drug delivery by iontophoresis.

INTRODUCTION: Iontophoresis has been extensively studied for topical and transdermal drug delivery t...

Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection.

Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or tria...

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression.

Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the p...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

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