/newsroom/ en /newsroom/news/list/2025/03/31/leading-the-way-in-ultrasound-credentialing Ultrasound is a crucial tool for timely and accurate diagnosis of endometriosis, yet variability in scanning capability, techniques and interpretation has led to inconsistent patient outcomes. April 01 2025 Rhiannon Koch /newsroom/news/list/2025/03/31/leading-the-way-in-ultrasound-credentialing /newsroom/news/list/2025/03/20/funding-fuels-imagendo-international-recruitment A funding boost from the Federal Government will allow 91×ÔÅÄ’s IMAGENDO study, which is training artificial intelligence to help diagnose endometriosis, to collect global data for the first time. March 20 2025 Rhiannon Koch /newsroom/news/list/2025/03/20/funding-fuels-imagendo-international-recruitment /newsroom/news/list/2025/02/06/humans-and-ai-in-new-collaboration-for-endometriosis-classification University of Adelaide researchers have identified a new approach for endometriosis classification, believed to be the first of its kind which combines both machine learning models and human knowledge. February 10 2025 Rhiannon Koch /newsroom/news/list/2025/02/06/humans-and-ai-in-new-collaboration-for-endometriosis-classification /newsroom/news/list/2025/01/30/need-for-novel-ai-to-be-used-in-womens-health Research has shown the potential for artificial intelligence (AI) to assist in the diagnosis of conditions, like endometriosis, but what happens if the modelling is incorrect? January 31 2025 Rhiannon Koch /newsroom/news/list/2025/01/30/need-for-novel-ai-to-be-used-in-womens-health /newsroom/news/list/2024/08/09/breaking-down-the-barriers-for-endometriosis-care This month’s Research Tuesdays public lecture will delve into the latest in accessible care for people with endometriosis. August 12 2024 Rhiannon Koch /newsroom/news/list/2024/08/09/breaking-down-the-barriers-for-endometriosis-care