Obstetrics & Gynecology

Infertility

Latest AI and machine learning research in infertility for healthcare professionals.

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Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.

BACKGROUND: Integrating artificial intelligence (AI) prospected in the practical clinical management...

Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.

Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticat...

WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis.

OBJECTIVE: Endometriosis is a prevalent gynecological disease characterized by the ectopic growth of...

Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.

BACKGROUND: Endometriosis and breast cancer are significant global health burdens affecting women wo...

Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires se...

Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success.

Humans are the only species with a commensal Lactobacillus-dominant vaginal microbiota. Reproductive...

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.

BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negat...

A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.

The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...

Semen HPV and IVF: insights from infection prevalence to embryologic outcomes.

PURPOSE: Human papillomavirus (HPV), the most common sexually transmitted infection, has been propos...

Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model.

OBJECTIVE: To evaluate the predictive value of clinical features in the diagnosis of endometriosis b...

Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morpholo...

Advancement in early diagnosis of polycystic ovary syndrome: biomarker-driven innovative diagnostic sensor.

Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects o...

A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...

The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome.

UNLABELLED: Endometriosis (EM) and adenomyosis (AM) are interrelated gynecological disorders charact...

Dose-response association between OGTT and adverse perinatal outcomes after IVF treatment: A cohort study based on a twin population.

BACKGROUND: Investigate the association between Oral Glucose Tolerance Test (OGTT) after in vitro fe...

Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.

This study aimed to explore potential risk factors for severe endometriosis and to develop a model t...

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