Latest AI and machine learning research in infertility for healthcare professionals.
Endometriosis is a chronic, hormone-dependent condition that affects 190 million women worldwide. There are no validated biomarkers for endometriosis and this delays diagnosis and treatment. We performed serum steroid metabolome profiling in healthy controls (n=57) and women with laparoscopically-confirmed endometriosis (n=159) using liquid chromatography-tandem mass spectrometry. Women with endom...
A major challenge in deciphering the complex genetic landscape of Polycystic Ovary Syndrome (PCOS) lies in the limited understanding of how susceptibility loci drive molecular mechanisms across diverse phenotypes. To address this, we integrated molecular and epigenomic annotations from proposed causal cell-types and employed a deep learning (DL) framework to predict cell-type-specific regulatory e...
High-dimensional medical datasets present challenges in feature selection, where traditional methods often prioritize spurious correlations over causa...
PCOS is recognized as a major health concern affecting women around the world. Early detection and treatment of PCOS significantly reduce implications...
Endometriosis is a common yet often underdiagnosed condition, partly due to the lack of reliable diagnostics. This study examines the clinical feasibi...
Medical-image segmentation underpins quantitative diagnostics and research, yet state-of-the-art models remain task-specific and data-hungry. The rece...
Which mechanisms of action and candidate drugs can be used to treat endometrial failure caused by molecular alterations rather than endometrial timing...
Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders among reproductive aged women, which is characterized by hormonal imbal...
Peritoneal endometriosis (PE) remains challenging to diagnose, as it cannot be detected using standard imaging modalities and no clinically validated ...
AIM: Endometriosis is characterized by immune evasion and progressive inflammation. This study aimed to identify key genes related to immune and infla...
Grading of blastocyst morphology is used routinely for embryo selection with good outcomes. A lot of effort has been placed in IVF to search for the p...
OBJECTIVE: With an estimated global frequency ranging from5Â % to 21Â %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorder...
Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the field of urology, reproductive urology specifically ...
The AUTO-PCOS Classification Challenge seeks to advance the diagnostic capabilities of artificial intelligence (AI) in identifying Polycystic Ovary ...
In vitro fertilization (IVF) is a widely utilized assisted reproductive technology, yet predicting its success remains challenging due to the multif...
Artificial intelligence (AI) has emerged as a powerful tool to enhance decision-making and optimize treatment protocols in in vitro fertilization (I...
We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductiv...
Infertility is a global health issue, and more and more people are hoping to have babies by means of assisted reproductive technology. However, there ...
Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth perception and instrument manipulation. While Monocular ...
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studi...