Latest AI and machine learning research in infertility for healthcare professionals.
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of repro...
BACKGROUND: The aim of the present study was to investigate the impact of serum VD status on IVF out...
Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic...
Currently applicable models for predicting live birth outcomes in patients who received assisted rep...
In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technolo...
BackgroundOne of the main causes of infertility among women nowadays is Polycystic Ovarian Syndrome,...
BACKGROUND: The preservation of the pelvic autonomic nervous system in total mesorectal excision rem...
Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...
Leydig cells play a crucial role in male reproductive physiology, and their dysfunction is often ass...
Endometriosis affects over 190 million women globally, and effective therapies are urgently needed t...
CONTEXT: Artificial intelligence (AI) is increasingly utilized in healthcare, with models like ChatG...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...
The use of artificial intelligence (AI) in human reproduction is a rapidly evolving field with both ...
OBJECTIVE: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and inf...
The use of time lapse systems (TLS) in In Vitro Fertilization (IVF) labs to record developing embryo...
A major challenge in image-guided laparoscopic surgery is that structures of interest often deform a...
To establish a predictive model for clinical pregnancy outcomes following the transfer of a single f...
REVIEW PURPOSE: The clinical management of subclinical and symptomatic varicoceles in male infertili...
PURPOSE OF REVIEW: Infertility impacts one in six couples worldwide, with male infertility contribut...
We evaluated the efficacy of large language models (LLMs), specifically, generative pre-trained tran...
OBJECTIVE: To externally validate a fully automated embryo classification system for in vitro fertil...