Infertility

Enhanced predictive performance of artificial intelligence in individualized ovarian stimulation of in vitro fertilization: a retrospective cohort study.

BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers are expected to rise with the aging population. The controlled ovarian stimulation (COS) process, key to IVF success, is inherently complex. Given advances in artificial intelligence (AI), this study investigated whether a series of AI models can outperform traditional clinical practices in predict...

Advancements in sperm selection and assessment: traditional to cutting-edge methods in assisted reproductive techniques - a narrative review.

Infertility affects approximately 15% of couples globally, with male factors contributing to 20-70% of cases. These issues often stem from low sperm concentration, abnormal morphology, or poor motility, highlighting the critical importance of sperm selection in both natural and assisted reproduction. The quality of selected spermatozoa impacts not only fertilization success but also the health of ...

Exploration and Performance Analysis of Deep Learning Applications in Spermatic Vein Ultrasound Segmentation.

Varicocele is a common cause of male infertility, with ultrasound (US) serving as the primary diagnostic tool. Current practice relies on manual, subj...

GenX-associated molecular signatures overlap with testicular aging and male infertility: a multi-omics integration analysis.

GenX (HFPO-DA), a short-chain per- and polyfluoroalkyl substance (PFAS) substitute, is implicated in testicular toxicity. GenX-related genes were inte...

Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome.

BACKGROUND AND AIMS: To identify novel biomarkers and therapeutic targets for polycystic ovary syndrome (PCOS) using integrated bioinformatics approac...

Noninvasive Blood-Based Detection of Endometriosis Can Improve Standard-of-Care by Facilitating Early Diagnosis and Clinical Management Among Symptomatic Women.

STUDY OBJECTIVE: To develop and validate a non-invasive, blood-based diagnostic assay for endometriosis that performs accurately across menstrual cycl...

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous ...

Minimally invasive surgery for advanced-stage ovarian cancer: a review of evidence and emerging paradigms.

Minimally invasive surgery has emerged as a promising approach to the management of advanced-stage epithelial ovarian cancer, particularly in the sett...

Addressing multiple pregnancies in in vitro fertilization-embryo transfer: Current status, challenges, and solutions.

With the rising global incidence of infertility and the growing proportion of infants conceived via in vitro fertilization-embryo transfer (IVF-ET), m...

The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometri...

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine ...

Integrative metabolomics and machine learning reveal the toxic mechanisms of elaidic acid in polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is characterized by reproductive dysfunction and metabolic disturbances, including obesity, insulin resis...

AI-based imputation of anti-Müllerian hormone enables robust prediction of oocyte retrieval during controlled ovarian stimulation.

PURPOSE: This study addressed the practical challenge of missing data in assisted reproductive technology by evaluating the reliability of predicting ...

Emerging Diagnostics Tools for Severe Male Infertility and Non-Obstructive Azoospermia.

Male infertility affects one in ten men, yet we have seen few changes in the diagnostic tests recommended in the guidelines in the recent decade. Here...

Identification of a Potential Biomarker PDGFRA for Endometriosis Based on Comprehensive Analysis of Multiple Omics Data.

Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with so...

Skin deep: dermatologic challenges in PCOS through the female lifespan.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a lifelong endocrine-metabolic condition with prominent dermatologic manifestations such as hirsutis...

Multi-level evidence reveals KCTD15 and FAM19A2 as key targets in PFOA/PFOS-mediated PCOS pathogenesis.

BACKGROUND: Polycystic ovary syndrome (PCOS), a common endocrine disorder, has been linked to environmental factors such as exposure to per- and polyf...

High-throughput label-free assessment of sperm DNA fragmentation index via intelligent morphological imaging.

Infertility has emerged as an increasingly serious global public health concern, affecting approximately one in six individuals of reproductive age wo...

Integration of Raman tweezers and machine learning for label-free single-cell characterization of endometriosis cells.

Endometriosis occurs when endometrial tissue grows outside the uterus, affecting millions of women worldwide. Despite extensive research, its cellular...

Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.

Female Genital mutilation (FGM) has been associated with numerous negative health effects like sexual dysfunction, chronic pain, infections, infertili...