Infertility

Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy.

Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) to study the differences in ovarian vasculature between cancer and various benign conditions. In this study, we converted OR-PAM vascular data into vas...

EGR1 promotes ferroptosis in endometriosis through transcriptional activation of HMOX1.

Endometriosis (EM) affects approximately 10% of women of reproductive age and remains a prevalent estrogen-dependent gynecological disorder with limited therapeutic efficacy and high recurrence rates. Ferroptosis-an iron-dependent, non-apoptotic form of regulated cell death driven by lipid peroxidation-has recently been recognized to play a paradoxical role in EM pathogenesis. To explore ferroptos...

AI in Reproductive Medicine: Hope or Hype?

Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted repr...

A Scoping Review of Male Fertility Assessment and Treatment Across Historical and Contemporary Paradigms.

BACKGROUND: Male factor infertility accounts for up to 50% of couples' inability to conceive. Despite this significant burden, perspectives on male fe...

Current applications of artificial intelligence in assisted reproductive technologies.

INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, optimizing treatment plans, and improving patient o...

Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ov...

Selection of human embryo for IVF treatment using ensemble machine learning technique.

The success of in vitro fertilization (IVF) treatment for infertility majorly depends upon the selection of a healthy embryo by the embryologist which...

Artificial intelligence-driven oocyte scores are associated with early morphokinetics and embryo outcomes after intracytoplasmic sperm injection.

RESEARCH QUESTION: How are the scores obtained using the deep learning-based oocyte assessment system, MAGENTA, associated with outcomes of intracytop...

Automatic Follicle Counting From Ultrasound Images of Ovaries Using MARDSE-UNET Model.

Detecting ovarian structures in ultrasound images is essential in gynecological and reproductive medicine. An automated detection system can serve as ...

Artificial intelligence-driven precision treatment of reproductive medicine-related diseases: the optimal protocol choice for IVF-ET.

INTRODUCTION: Optimal ovarian stimulation (OS) selection is critical for IVF success, but expert-based decisions often lack consistency in outcomes, c...

Toward Standardized ICU Trauma Resuscitation via Markov Decision Processes.

OBJECTIVE: Guideline-based recommendations for posthemostasis resuscitation in trauma patients remain limited. This study aimed to define an interpret...

Current state of artificial intelligence applications in assisted reproductive technology: A narrative review.

Artificial intelligence (AI) has rapidly advanced in healthcare, demonstrating significant potential in analyzing large, heterogeneous datasets using ...

Exploration and analysis of methylglyoxal-driven chronic inflammation in polycystic ovary syndrome.

INTRODUCTION: Chronic low-grade inflammation drives polycystic ovary syndrome (PCOS)-related metabolic disorders, but the underlying mechanisms remain...

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to deve...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. De...

Sperm metabolomic signatures of asthenozoospermia and teratozoospermia in Chinese reproductive-age men.

Asthenozoospermia and teratozoospermia are common causes of male infertility. Despite their prevalence, the underlying metabolic mechanisms remain poo...

Development of a single-center predictive model for conventional in vitro fertilization outcomes excluding total fertilization failure: implications for protocol selection.

OBJECTIVES: To develop a multidimensional clinical indicator-based prediction model for identifying high-risk patients with fertilization failure conv...

Development and validation of machine learning models for predicting blastocyst yield in IVF cycles.

Predicting blastocyst formation poses significant challenges in reproductive medicine and critically influences clinical decision-making regarding ext...

Natural orifice transluminal endoscopic surgery: history and current development.

Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in minimally invasive surgery, utilizing natural body ori...

Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.

Infertility is a global issue, and approximately 50% of cases are due to male factors, with defective spermatogenesis being the main one. For studies ...