Obstetrics & Gynecology

Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.

A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibility loci drive molecular mechanisms across diverse phenotypes. To address this, we integrated molecular and epigenomic annotations from proposed causal cell types and employed a deep learning (DL) framework to predict cell type-specific regulatory e...

Comprehensive Assessment of Artificial Intelligence as a Stand-alone tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.

PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as an independent screener for triaging cases that do not require human review. The aim of this study was to assess the possibility of clinical practise. MATERIALS AND METHODS: AICyte alone with a 50% negative cut-off is evaluated with detailed analysis of any AICyte negative cases originally diagnosed...

Machine learning-based radiomics analysis of PET imaging for early prediction of concurrent chemoradiotherapy response in stage II-III cervical squamous cell carcinoma.

BACKGROUND: Cervical squamous cell carcinoma is a major global health burden, with many patients presenting with locally advanced disease requiring co...

Advancing Artificial Intelligence for Skeletal Maturation Assessment and Cervical Vertebral Anomaly Detection in Patients With Cleft Lip and Palate.

PET-CT radiomics and artificial intelligence for predicting lymph node metastasis in cervical cancer: a systematic review and meta-analysis.

PURPOSE: Preoperative identification of lymph node metastasis (LNM) in cervical cancer is crucial for guiding therapeutic strategies but remains clini...

Non-invasive endometriosis staging prediction using integrated radiomics and spatiotemporal transformer model based on dynamic contrast-enhanced MRI.

Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization-an invasive ...

Integrative assessment of sulfoxaflor effects on gene expression, reproduction, and behavior in the bumblebee Bombus impatiens.

Social insect pollinators, such as bumblebees, face increasing threats from environmental agrochemicals; yet the sublethal effects of these compounds ...

Association Between Breast Arterial Calcifications and Increased Cardiovascular Risk: A Canadian Perspective on Clinical Implications and the Potential Role in Preventive Care.

Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been correlated with other methods of cardiovascular r...

Impact of multimodal information on the estimation of fetal growth indicators using machine learning regression models.

Accurate estimation of fetal growth indicators such as birth weight, birth length, and gestational age at birth is essential for monitoring pregnancy ...

Single-cell spatiotemporal dissection of the human maternal-fetal interface.

The human maternal-fetal interface is characterized by mosaic intermingling of maternal and fetal cells1. Yet the underlying cellular, molecular and s...

Functional Reclassification of Lipid-Based Drug Delivery Systems and Advances in Formulation Strategies and Manufacturing Challenges.

Lipid-based drug delivery systems have progressed from a simple empirical solubilization tool towards a highly precise engineered platform, capable of...

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks.

Rugby is a contact sport with a high risk of injury. Scrums are a key component of the game and represent a collision event associated with serious in...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examina...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinat...

Innovation in intensive care: a framework to turn ideas and concepts into actionable solutions.

INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability of new complex therapies, and workforce shortages, ...

A novel predictive model for evaluating thrombus regression in postpartum venous thromboembolism patients.

INTRODUCTION: Antithrombotic evaluation of postpartum venous thromboembolism (VTE) after anticoagulant therapy is challenging because of the lack of h...

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model. PURPOSE: To develop novel AI software for early ...

Development, validation, and visualization of a novel nomogram for predicting clinical outcomes of postoperative cervical cancer patients.

To develop a context-aware multi-instance learning (TransMIL) model based on whole-slide pathological images and integrate it with clinical parameters...

Lipid Metabolism and Oxidative Stress in Uterine Corpus Endometrial Carcinoma: Prognostic and Immune Landscape Analysis.

OBJECTIVE: Uterine corpus endometrial carcinoma (UCEC) is a common gynecologic malignancy characterized by metabolic reprogramming and immune dysregul...

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

BACKGROUND: As the second deadly cancer affecting women globally, precise and timely classification of ovarian tumors plays an instrumental role in im...