Mathew Leonardi

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…

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…

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 …

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…

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-…

BACKGROUND: Endometriosis is a chronic disease characterized by endometrial-like tissue outside the uterus. Superficial endometriosis (SE) is the most prevalent form, yet it remains underdiagnosed due to subtle clinical and imaging presenta…

Diagnostic delay is a significant issue facing people with endometriosis; however, the Australian perspective and participant voice is missing for why delay occurs. The current study aimed to assess the length of diagnostic delay, whether t…

OBJECTIVES: Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically assess transvaginal ultras…

OBJECTIVE: To evaluate the diagnostic accuracy of transvaginal ultrasonography (TVUS) in detecting deep endometriosis, ovarian endometriosis, and superficial endometriosis using the IDEA (International Deep Endometriosis Analysis) consensus…

STUDY OBJECTIVE: To examine endometriosis-related content on Instagram, a platform increasingly used for health communication, to understand: 1) the identity of Instagram content creators; 2) themes, tones, and emotions evoked from posts; a…