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Endometriosis Blood Test: Improving Diagnostic Accuracy - OC Academy

Endometriosis Blood Test: Improving Diagnostic Accuracy OC Academy

Published: March 18, 2026, 1:07 p.m.
Novel approaches for PET imaging of endometriosis.

Endometriosis, affecting up to 10% of women, is a chronic estrogen dependent disorder where ectopic endometrial-like tissue causes pelvic pain and infertility. Endometriosis is challenging to diagnose due to symptom …

Published: March 12, 2026, midnight
Menstrual Effluent in the Pathogenesis and Diagnosis of Endometriosis-A Systematic Review.

Background: The individual and social burden of endometriosis is high, and the diagnosis is usually delayed by 7-10 years. Menstrual effluent (ME) represents an accessible and uniquely informative biofluid. This …

Published: Feb. 26, 2026, midnight
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 …

Published: Feb. 25, 2026, midnight
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 …

Published: Feb. 25, 2026, midnight
Diagnostic value of MiRNAs in endometriosis: a systematic review and meta-analysis.

Published: Feb. 25, 2026, midnight
Evaluation of ChatGPT and Gemini in Answering Patient Questions after Gynecologic Surgery.

To explore the performance of ChatGPT version 4.0 (GPT-4) and Gemini Advanced (Gemini) large language models (LLMs) in addressing common patient questions after gynecology surgery with regards to accuracy, relevance, …

Published: Feb. 24, 2026, midnight
Global variability in the clinical presentation of endometriosis: A scoping review.

Endometriosis affects approximately 10-15 percent of women of reproductive age, yet its clinical presentation remains inconsistently reported. This scoping review mapped the global spectrum of endometriosis-related symptoms and examined factors …

Published: Feb. 23, 2026, midnight
Integration of Raman tweezers and machine learning for label-free single-cell characterization of endometriosis cells.

Endometriosis occurs when endometrial tissue grows outside the uterus, affecting millions of women worldwide. Despite extensive research, its cellular mechanisms remain unclear, complicating both diagnosis and treatment. This study presents …

Published: Feb. 19, 2026, midnight
Correction: Diagnostic accuracy of machine learning for endometriosis: a systematic review and meta-analysis.

[This corrects the article DOI: 10.3389/fendo.2025.1735567.].

Published: Feb. 18, 2026, midnight
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