Infertility

Biomarker-driven diagnostics and personalized treatment in polycystic ovary syndrome.

Polycystic Ovary Syndrome (PCOS) is a common and clinically heterogeneous endocrine disorder affecting approximately 4-20% of women worldwide. Its complex presentation frequently leads to delayed diagnosis, increasing the risk of long-term reproductive and metabolic complications. This review critically examines emerging biomarkers spanning hormonal, metabolic, inflammatory, and molecular pathways...

Deep Learning-Based Metal Artifact Reduction in Cardiac Computed Tomography: A Preliminary Study Enabling Radiomic Analysis in Patients with Implantable Defibrillators.

Idiopathic ventricular fibrillation (IVF) affects 5-10% of out-of-hospital cardiac arrest survivors, requiring implantable cardioverter-defibrillators (ICDs) for management. However, metal artifacts from ICDs may compromise cardiac computed tomography (CCT) image quality, limiting diagnostic capabilities and preventing advanced analyses like radiomics. The aim of this study is to develop a deep le...

Bioactive Compounds and Mechanistic Insights of Chuanxiong Rhizoma and Angelicae Sinensis Radix in Endometriosis Treatment: A Network Pharmacology and Experimental Validation Study.

INTRODUCTION: Endometriosis, a chronic gynecological disorder, significantly impacts fertility and quality of life. Identifying effective therapeutic ...

Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.

OBJECTIVE: To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clin...

Technology-assisted visceral surgery: a model-based approach for quantifying translation and accessibility across populations and geographies.

INTRODUCTION: Technological innovation is rapidly transforming surgical care, yet disparities in access and adoption persist. This study introduces a ...

Deep learning-based automated classification of endometrial lesions in IVF patients using hysteroscopic images.

Endometrial health is a key determinant of female fertility and successful pregnancy outcomes, making the accurate diagnosis of endometrial lesions es...

DEHP-induced male reproductive toxicity: Evidence from population studies, animal experiments, and multi-omics profiling.

OBJECTIVE: To evaluate the association between di(2-ethylhexyl) phthalate (DEHP) exposure and testosterone deficiency in adult men, and to explore mol...

Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.

BACKGROUND: Endometrial receptivity (ER) serves as a critical determinant for successful embryo implantation, yet its molecular complexity and limited...

Guideline Adherence in the Diagnosis of PCOS Among Adolescents: Comparing Obstetricians and Gynecologists With Large Language Models.

STUDY OBJECTIVE: Polycystic ovary syndrome in adolescence is a condition associated with long-term cardiovascular, metabolic, and psychological outcom...

Quality of AI-generated post-operative patient education after minimally invasive gynecologic surgery: A comparative analysis.

STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic post-operative questions with educational materials published by prof...

A two-stage sperm holomorphological analysis method based on multi-output network construction.

BACKGROUND: Sperm morphology detection technology has important research value in diagnosing male infertility. Traditional manual detection methods ar...

AI-assisted case-based learning and flipped classroom to improve clinical decision-making: a randomized controlled trial in reproductive medicine.

BACKGROUND: Efficient training of reproductive medicine clinicians is critical in the context of declining global fertility and increasing infertility...

Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.

PURPOSE: Transvaginal ultrasound (TVUS) is widely used for diagnosing ovarian endometriosis but remains limited by significant operator dependency. Th...

MicroRNAs in endometriosis: bioinformatics resources, machine learning strategies, and multi-omics perspectives.

BACKGROUND: Endometriosis is a heterogeneous gynecological disorder characterized by chronic pain, infertility, and substantial impairment of quality ...

Integration of a collaborative robotic platform in laparoscopic cholecystectomy: safety, feasibility, and operative time variability.

Laparoscopic cholecystectomy is a high-volume procedure with relatively short operative times, leaving limited margin for further reduction in mean du...

Non-Invasive Prediction of Embryo Ploidy from Time-Lapse Videos Using Video Vision Transformers (ViViT).

Accurate selection of viable embryos is crucial in in vitro fertilisation (IVF) to improve clinical outcomes. Traditional embryo assessment relies on ...

THBS1: a biomarker for PCOS and its role in pathogenesis via the PI3K/AKT signaling pathway.

This study identified thrombospondin-1 (THBS1) as a potential biomarker for polycystic ovary syndrome (PCOS) and its pivotal role in disease pathogene...

Deep learning-driven automatic segmentation of uterine peristalsis in intracavitary electrohysterography signals.

BACKGROUND AND OBJECTIVE: Uterine peristalsis, the rhythmic contractions of the inner layer of the myometrium during the menstrual cycle, is more chal...

Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective.

This multicenter retrospective observational study aimed to identify predictive factors for successful secondary testicular sperm extraction (TESE) us...

HSD11B1 suppresses ferroptosis in endometrial stromal cells through the JUND/IL-10 axis to promote endometriosis progression.

BACKGROUND: Endometriosis (EMs) is a common gynecological disorder characterized by ectopic endometrial tissue growth, leading to chronic inflammation...