Study types
- article 14
- other 5
- letter 3
- review 3
- preprint 2
Condition tags
- endometriosis 25
- mesh:D004715 7
- die_deep_infiltrating 2
- infertility 1
Top journals
- Australasian journal of ultrasound in medicine 4
- Fertility and sterility 2
- Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2
- Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 2
- International Journal of Gynecology & Obstetrics 1
Frequent coauthors
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, machine learning model training, and clinical auditing. We present \textbf{EndoExtract}, an …
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, machine learning model training, and clinical auditing. We present \textbf{EndoExtract}, an …
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 …
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…
OBJECTIVES: The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement of a pro…
Introduction/Purpose: The 2016 consensus statement from the International Deep Endometriosis Analysis group (IDEA) outlined a transvaginal ultrasound (TVUS) approach specific for the sonographic assessment of endometriosis (eTVUS). However,…
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…
Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as we…
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…
Linked article: There is a comment on this article by Young et al. Click here to view the Correspondence. Linked article: There is a comment on this article by Guerriero et al. Click here to view the Correspondence.
We appreciate the feedback from Prof. Guerriero and colleagues and would like to take the opportunity to address their concerns. We agree that the International Deep Endometriosis Analysis (IDEA) consensus opinion1 has contributed significa…
This presentation aims to equip healthcare professionals with valuable insights into the role of soft markers and the siding sign as part of a comprehensive ultrasound to detect endometriosis. Attendees will learn; — What soft markers and t…
INTRODUCTION: This study aimed to assess the accuracy of transvaginal ultrasound (TVUS) for the mapping of endometriosis before surgery when performed by sonographers in an outpatient women's imaging centre. METHODS: A prospective longitudi…
Abstract Introduction This study aimed to determine the additional time needed to perform an endometriosis transvaginal ultrasound (eTVUS) compared to routine transvaginal ultrasound (rTVUS). Methods A retrospective case–control study was p…
The usefulness of a test is determined by the clinical interpretation of its sensitivity and specificity. The pitfalls of a test with a surgical endpoint are described in this article, taking the diagnosis of deep endometriosis by imaging a…
Abstract Most high‐end ultrasound systems now incorporate three‐dimensional imaging as a standard feature. As such, the use of three‐dimensional ultrasound is becoming routine in many facets of medical ultrasound, especially obstetrics and …