Infertility

Integrated multi-omics analyses identify an RAS-SLC11A2-associated molecular framework linking iron metabolism with PCOS-related cardiometabolic risk.

INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role of the renin-angiotensin system (RAS)-iron metabolism axis in this comorbidity remains unclear. We explored its underlying mechanisms and evaluated the therapeutic potential of gentiopicroside. METHODS: Integrated multi-omics analyses combining transcriptomics, single-cell RNA sequencing, Mendelian r...

Predictive Models of Pregnancy Based on Male Partner Data From a Preconception Cohort Study.

BACKGROUND: Male factors contribute to approximately 50% of couple infertility, yet few studies have used machine learning with comprehensive male partner lifestyle and behavioral data to predict spontaneous conception. OBJECTIVES: To develop and validate machine learning models predicting spontaneous conception using detailed self-reported male partner characteristics from a North American prospe...

Long-term complications of traditional and novel management of groin hernia: a narrative review.

Groin hernia repair is among the most common surgical procedures worldwide, yet chronic postoperative pain and recurrence remain important long-term c...

A Two-Stage Hybrid Feature Selection and Ensemble Learning Framework With Explainable AI for Accurate PCOS Prediction.

BACKGROUND AND AIMS: Polycystic ovary syndrome (PCOS) is the most prevalent endocrine ailment impacting women of reproductive age, distinguished by on...

The Phendo Project: How FemTech Is Advancing Endometriosis Research and Women's Health.

FemTech continues to evolve and advance despite persistent research and funding gaps. In this News and Perspectives article, JMIR Correspondent Jenny ...

Expert Fusion Network for Automated Blastocyst Morphology and IVF Decision Support.

Conventional morphology-based grading of blastocysts is subjective and inconsistent. Although artificial intelligence and deep learning methods have i...

A proposal to meet specific criteria before fully integrating Artificial Intelligence (AI) into the IVF lab.

Artificial intelligence (AI) is generating genuine excitement in reproductive medicine for good reason. The promise of more consistent embryo assessme...

Integrating artificial intelligence and bioimpedance spectroscopy for enhanced pancreatic disease diagnosis.

The purpose of this study is to develop bioimpedance spectroscopy methods for diagnosing pancreatic diseases. We developed a descriptor approach using...

Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.

PURPOSE: To investigate the clinical performance of a novel deep-learning based image reconstruction algorithm, namely artificial intelligence iterati...

Trends in Inguinal Hernia Repair Approach: An Augmented Evidence Review.

BACKGROUND: Minimally invasive surgery has transformed inguinal hernia management; however, its utilization compared to open approaches remains poorly...

Bridging the Diagnostic Gap: Reviewing Current Endometriosis Screening Tools and Models.

Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic...

[Clinical and preprocedural factors influencing in vitro fertilization outcomes: a machine learning-based analysis].

Infertility affects 15-20% of the reproductive-age population, and assisted reproductive technologies, particularly in vitro fertilization (IVF), play...

Integrative transcriptomics and single-cell analysis identify SIX4 as a candidate epithelial target in ovarian cancer and PCOS-associated ovarian dysregulation.

PURPOSE: Ovarian cancer is a heterogeneous solid tumor, whereas polycystic ovary syndrome (PCOS) is a distinct endocrine-metabolic ovarian disorder. W...

Signal Detection and Temporal Analysis of Aromatase Inhibitor-Associated Hepatotoxicity: A Pharmacovigilance Study Integrating Bayesian Belief-Propagation Network and Frequentist Metrics.

BACKGROUND: This study assessed the real-world hepatotoxicity of third-generation aromatase inhibitors (AIs) for breast cancer using pharmacovigilance...

Data-driven endocrine-metabolic phenotypes in young women with polycystic ovary syndrome and associations with cardiometabolic risk markers.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with reproductive dysfunction and increased cardiometabolic risk. Co...

Systems-level genomic analyses reveal shared mechanisms underlying endometriosis and sleep disorders.

We examined clinical, genetic, and molecular links between sleep disorders and endometriosis. Women aged 20-54 years in NHANES 2005-2006 were analyzed...

Explainable AI in Male Infertility: A Clinical Roadmap for Shared Decision-Making.

Artificial intelligence (AI) is increasingly entering male infertility care through semen image analysis, sperm-selection support, prediction of sperm...

Analysis of influencing factors for social avoidance and distress among infertile patients based on LASSO and XGBoost algorithms.

OBJECTIVE: Infertility negatively impacts mental health and quality of life, with social avoidance and distress (SAD) being a key but underrecognized ...

YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.

In the United States, around 500,000 hysterosalpingography (HSG) procedures are performed annually. One fluoroscopic procedure that is frequently used...

Can AI speak endo? A multi-platform evaluation of large language models against ESHRE endometriosis guidelines.

STUDY QUESTION: How do the three most widely accessible large language models perform in terms of accuracy, consistency, and reliability when answerin...