M Louise Hull

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…

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 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 …

Background: Effective management of endometriosis necessitates a comprehensive, multidisciplinary approach. Networks or centres of expertise play a pivotal role in enhancing clinical care, fostering collaboration, and promoting innovative r…

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…

BACKGROUND: Mobile health (mHealth) apps are increasingly being used by community members to track symptoms and manage endometriosis. In addition, clinicians use mHealth apps for continued medical education and clinical decision-making and …

Objective: To describe the safety and pharmacokinetics (PK) of a novel 1% and 3% diclofenac vaginal hydrogel among healthy premenopausal women with symptomatic primary dysmenorrhea. Preliminary efficacy was an exploratory objective. Methods…

Endometriosis, defined as the growth of endometrial-like tissues outside the uterus, is a common disease among women. Numerous in vivo rodent models of endometriosis have been developed to explore multiple aspects of this poorly understood …

The aetiology of endometriosis remains poorly understood. In vitro model systems provide the opportunity to identify the mechanisms driving disease pathogenesis using human cells. Three-dimensional models, particularly organoid systems, hav…

Pain is a debilitating symptom of endometriosis, and its mechanisms are often explored using rodent models. However, a lack of harmonization amongst models and behavioural measures, in addition to inconsistent reporting, might limit the ove…

This group was formed out of the conviction that endometriosis research has not progressed at a pace in proportion to disease severity and the negative impact on women's quality of life. Furthermore, advancement in our understanding of this…

Abstract Diagnosis of endometriosis has traditionally relied on laparoscopic surgery, which was considered the ‘gold standard’ diagnostic tool. This is not ideal as surgery carries risk, is expensive, is difficult to access, and disrupts pa…

BACKGROUND: In the digital age, search engines and social media platforms are primary sources for health information, yet their commercial interests-focused algorithms often prioritize irrelevant content. Web-based health applications by re…

Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery or the anal…

Abstract Study question Can we improve the diagnostic accuracy of the detection of POD obliteration in endometriosis magnetic resonance imaging, by leveraging results from unpaired eTVUS data sets? Summary answer We illustrate effective mul…

Understanding of molecular mechanisms contributing to the pathophysiology of endometriosis, and upstream drivers of lesion formation, remains limited. Using a C57Bl/6 mouse model in which decidualized endometrial tissue is injected subcutan…

Background and Aims: Numerous endometriosis treatments exist, ranging from surgical to traditional medications to complementary and alternative medicines (CAMs). The ranking of treatments across management categories remains unknown. To add…

The 2016 Cochrane Review identified Magnetic Resonance Imaging (MRI) and Transvaginal Ultrasound scans (TVUS) as the most diagnostic non-invasive test for endometriosis. This led to IMAGENDO, which uses Artificial Intelligence (AI) to model…

Endometriosis is a common chronic gynecological disorder that has many characteristics, including the pouch of Douglas (POD) obliteration, which can be diagnosed using Transvaginal gynecological ultrasound (TVUS) scans and magnetic resonanc…

Endometriosis is a common chronic gynecological disorder that has many characteristics, including the pouch of Douglas (POD) obliteration, which can be diagnosed using Transvaginal gynecological ultrasound (TVUS) scans and magnetic resonanc…