The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …
An Overview of Endometriosis and Potential Pharmacogenetic Targets.
Endometriosis is a chronic inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects approximately 10-15% of women of reproductive age globally and is characterized …
Development of a novel meta-polygenic risk score for risk assessment and clinical manifestation prediction in systemic lupus erythematosus.
Systemic lupus erythematosus (SLE) is a clinically heterogeneous autoimmune disease with multifactorial pathogenesis. Although polygenic risk scores (PRSs) have been developed to enable early prediction, their accuracy remains limited. To …
Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …
Ovarian Sclerosing Stromal Tumor. Spectrum of Ultrasound Findings. A Case Report and Review of Literature.
We present a case of a very rare benign ovarian tumor, a sclerosing stromal tumor (SST). In addition, we performed a review of the literature to describe the spectrum of …