INTRODUCTION: Endometriosis is a heterogeneous pain condition with variable symptom expression. Abuse history has been associated with amplified pain, gastrointestinal symptoms, and central sensitization in varying populations; however, whe…
OBJECTIVE: To (1) determine how application of the updated international definition of deep endometriosis (DE) alters apparent disease prevalence across pelvic sites, and (2) characterize the distribution of endometriosis phenotypes, includ…
Knowledge pertaining to the interplay between body image, body compassion, and endometriosis-related symptoms is limited. The current study aimed to elucidate the relationships between body compassion, body image, and endometriosis-related …
Objective To characterize patterns of glucagon-like peptide-1 receptor agonist (GLP-1RA) use and their perceived effects on endometriosis-related symptoms, quality of life, treatment burden, and symptom recurrence following discontinuation.…
In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …
Endometriosis affects 1 in 10 women globally. We aimed to determine health provider involvement and preferred methods of obtaining an endometriosis diagnosis across international jurisdictions. A global cross-sectional survey, distributed t…
OBJECTIVE: To provide health care professionals with an evidence-based approach to the management of endometriosis and its associated symptoms. TARGET POPULATION: Women and gender-diverse individuals affected by endometriosis. BENEFITS, H…
Endometriosis is a chronic, debilitating condition characterized by heterogenous clinical manifestations. It has a prevalence of 5-10% in women of reproductive age, and 30-50% of individuals with endometriosis are affected by infertility. T…
Endometriosis is a chronic, inflammatory gynecologic disease affecting approximately 10% of individuals assigned female at birth worldwide and is associated with substantial morbidity, reduced quality of life, and significant diagnostic del…
Endometriosis is a chronic, inflammatory gynecologic disease affecting approximately 10% of individuals assigned female at birth worldwide and is associated with substantial morbidity, reduced quality of life, and significant diagnostic del…
OBJECTIVE: To explore diagnostic preferences among individuals with confirmed or suspected endometriosis to inform the development of patient-centred diagnostic strategies. DESIGN: Qualitative study using semi-structured focus group discus…
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 of diagnostic servi…
OBJECTIVE: To systematically review qualitative and quantitative evidence on the role of social media (SM) in endometriosis awareness and disease management. DATA SOURCES: A systematic search was conducted in PubMed and Scopus up to Decemb…
BACKGROUND: Diagnosis of acute and chronic pelvic inflammatory disease continues to be a challenge despite advances in investigative procedures. Complications of PID include infertility, chronic pelvic pain and ectopic pregnancy. Currently,…
In this study, we evaluate locally deployed large language models (LLMs) for converting unstructured endometriosis transvaginal ultrasound (eTVUS) reports into structured data. Across 49 de-identified reports, we compared three on-premise L…
In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …
Traditionally, laparoscopy was considered to be the gold standard for the examination of endometriotic lesions, because it allows their direct visualization. Several international and national guidelines have now shifted their focus to non-…