Obstetrics & Gynecology

Infertility

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

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Assisted Reproductive Technology: A Ray of Hope for Infertility.

Assisted reproductive technologies (ART) have revolutionized the field of reproductive medicine, off...

Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study.

OBJECTIVE: To develop a computer algorithm for the automatic classification of basic surgical skills...

Deep learning classification integrating embryo images with associated clinical information from ART cycles.

An advanced Artificial Intelligence (AI) model that leverages cutting-edge computer vision technique...

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset.

Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and vari...

HSG-Assistant: AI-Driven Framework for Enhanced Hysterosalpingography Analysis.

HSG-Assistant is an AI-driven diagnostic framework designed to address the significant limitations o...

Next-generation Approaches in Targeting Polycystic Ovarian Syndrome: Innovative Strategies.

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects millions of women worl...

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy lo...

Exploration of immune-related diagnostic biomarkers in unexplained infertility by bioinformatics analysis and machine learning.

OBJECTIVE: We aimed to discover the biomarkers associated with UI and their correlation with immune ...

Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on ...

Artificial intelligence in assisted reproductive technology: separating the dream from reality.

This paper critically reviews the role of artificial intelligence (AI) in assisted reproductive tech...

Artificial intelligence-driven analysis of embryo morphokinetics in singleton, twin, and triplet pregnancies.

In recent years, the transfer of more than one embryo has become less frequent to diminish multiple ...

Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-staine...

Identification and validation of immune-related and inflammation-related genes in endometriosis.

AIM: Endometriosis is characterized by immune evasion and progressive inflammation. This study aimed...

Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the fi...

Using machine learning to predict patients with polycystic ovary disease in Chinese women.

OBJECTIVE: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PC...

Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within he...

[Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening].

Infertility is a global health issue, and more and more people are hoping to have babies by means of...

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.

PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect ...

[Application of the blastomere count variations "skip value" in the embryo AI assessment].

To explore the correlation between blastomere count variations "skip value" which extracted from by...

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