Artificial intelligence for diagnosing ovarian masses on ultrasound
Part of Cancer, Hormones & metabolism, Women’s health & pregnancy clinical trials.
This study uses ultrasound images to train an artificial intelligence (AI) system to better identify ovarian masses. It may help give more accurate diagnoses and reduce the need for unnecessary surgery.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have been diagnosed with at least one ovarian mass (a growth on your ovary) that was seen on a pelvic ultrasound.
- You have had surgery to remove the mass, and the tissue was tested in a lab (biopsy) to confirm it is ovarian.
- Your ultrasound images must be clear – the mass should be fully visible, not blurry, and not hidden by other tissue or gas.
- The lab results must clearly show the mass is from the ovary, not from another organ, and the results must be definite.
- You must be willing to have your ultrasound images and lab results used for research purposes (no extra tests or visits needed).
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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