News: IMAGENDO
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.
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Funding fuels IMAGENDO international recruitment
A funding boost from the Federal Government will allow the University of Adelaide’s IMAGENDO study, which is training artificial intelligence to help diagnose endometriosis, to collect global data for the first time.
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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.
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Need for novel AI to be used in women’s 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?
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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.
[Read more about Breaking down the barriers for endometriosis care]
