Obstetrics & Gynecology

Infertility

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

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Development and Validation an AI Model to Improve the Diagnosis of Deep Infiltrating Endometriosis for Junior Sonologists.

OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ul...

Machine learning center-specific models show improved IVF live birth predictions over US national registry-based model.

Expanding in vitro fertilization (IVF) access requires improved patient counseling and affordability...

Artificial intelligence (AI) approaches to male infertility in IVF: a mapping review.

BACKGROUND: Male infertility contributes to 20-30% of infertility cases, yet traditional diagnostic ...

A diagnostic model for polycystic ovary syndrome based on machine learning.

Diagnosis of polycystic ovary syndrome remains a challenge. In this study, we propose constructing a...

Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer.

OBJECTIVE: This study aims to investigate the influencing factors of pregnancy outcomes during in vi...

Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study.

OBJECTIVE: Asherman's syndrome (AS) is a significant cause of subfertility in women from developing ...

A deep learning approach to understanding controlled ovarian stimulation and in vitro fertilization dynamics.

Infertility, recognized by the World Health Organization (WHO) as a disease affecting the male or fe...

Deep learning based estimation of heart surface potentials.

Electrocardiographic imaging (ECGI) aims to noninvasively estimate heart surface potentials starting...

Artificial Intelligence in Andrology: A New Frontier in Male Infertility Diagnosis and Treatment.

PURPOSE OF REVIEW: Infertility affects approximately 15% of couples globally, with male-factor infer...

Identification of crucial genes for polycystic ovary syndrome and atherosclerosis through comprehensive bioinformatics analysis and machine learning.

OBJECTIVE: To identify potential biomarkers in patients with polycystic ovary syndrome (PCOS) and at...

Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women.

Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women worldwide; ho...

Real-Time, AI-Guided Photodynamic Laparoscopy Enhances Detection in a Rabbit Model of Peritoneal Cancer Metastasis.

Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface m...

Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation.

BACKGROUND: Artificial intelligence (AI) models analyzing embryo time-lapse images have been develop...

Machine learning model for menstrual cycle phase classification and ovulation day detection based on sleeping heart rate under free-living conditions.

The accurate classification of menstrual cycle phases and detection of ovulation is critical for wom...

An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach.

Infertility has emerged as a significant public health concern, with assisted reproductive technolog...

Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception.

Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). ...

The perception of artificial intelligence and infertility care among patients undergoing fertility treatment.

PURPOSE: To characterize the opinions of patients undergoing infertility treatment on the use of art...

Enhancing repeatability of follicle counting with deep learning reconstruction high-resolution MRI in PCOS patients.

Follicle count, a pivotal metric in the adjunct diagnosis of polycystic ovary syndrome (PCOS), is of...

Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning.

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women invol...

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