Obstetrics & Gynecology

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

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Showing 106-126 of 2,417 articles
MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.

Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a...

Large Language Model Clinical Vignettes and Multiple-Choice Questions for Postgraduate Medical Education.

ProblemClinical vignette-based multiple-choice questions (MCQs) have been used to assess postgraduat...

Reproductive health and ChatGPT: an evaluation of AI-Generated responses to commonly asked abortion questions.

Recent assessments of ChatGPT in relation to a variety of pregnancy-related questions have shown mix...

Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.

BACKGROUND: Integrating artificial intelligence (AI) prospected in the practical clinical management...

Quantitative and automatic plan-of-the-day assessment to facilitate adaptive radiotherapy in cervical cancer.

To facilitate implementation of plan-of-the-day (POTD) selection for treating locally advanced cervi...

Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.

Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticat...

Sex determination in German Mast geese (Anser anser) with 3D modeling pelvimetry examination.

BACKGROUND: The avian pelvis is known to differ in shape between males and females due to the need f...

Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.

Ovarian cancer represents one of the most lethal gynecologic malignancies, characterized by low earl...

WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis.

OBJECTIVE: Endometriosis is a prevalent gynecological disease characterized by the ectopic growth of...

Multitask Deep Learning for Automated Segmentation and Prognostic Stratification of Endometrial Cancer via Biparametric MRI.

BACKGROUND: Endometrial cancer (EC) is a common gynecologic malignancy; accurate assessment of key p...

Machine Learning-Enhanced Nanoparticle Design for Precision Cancer Drug Delivery.

In recent years, nanomedicine has emerged as a promising approach to deliver therapeutic agents dire...

Self-assembling peptide hydrogels: design, mechanisms, characterization, and biomedical applications.

Self-assembled peptide hydrogels have emerged as a research frontier in biomedical engineering due t...

Innovations in laparoscopic management of endometrial cancer.

INTRODUCTION: Endometrial cancer is one of the most common gynecologic malignancies, with increasing...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and eff...

AN INNOVATIVE MACHINE LEARNING-BASED ALGORITHM FOR DIAGNOSING PEDIATRIC OVARIAN TORSION.

AIM: We aimed to develop a machine-learning(ML) algorithm consisting of physical examination, sonogr...

The Future of Automated Insulin Delivery Systems.

Automated insulin delivery (AID) systems have revolutionized diabetes care by integrating continuous...

NanoBinder: a machine learning assisted nanobody binding prediction tool using Rosetta energy scores.

Nanobodies offer significant therapeutic potential due to their small size, stability, and versatili...

Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations.

The transformative advancements in artificial intelligence (AI) have significantly impacted medical ...

Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women.

Reproductive aging impacts women's health through fertility decline, disease susceptibility, and sys...

Engineered multi-domain lipid nanoparticles for targeted delivery.

Engineered lipid nanoparticles (LNPs) represent a breakthrough in targeted drug delivery, enabling p...

Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.

BACKGROUND: Endometriosis and breast cancer are significant global health burdens affecting women wo...

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