AI could help decide best treatment for ovarian cancer
NCT ID NCT06017557
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times
Summary
This study tests whether artificial intelligence (AI) can analyze videos from a keyhole surgery (laparoscopy) to predict if ovarian cancer tumors can be completely removed. The goal is to help doctors choose the best treatment plan—surgery first or chemotherapy first—for each patient. About 151 women with advanced ovarian cancer will take part.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence (AI) and machine learning software
What this could lead to
If successful, this could lead to a more accurate, automated way to decide whether ovarian cancer patients should have surgery first or chemotherapy first, improving treatment outcomes.
What could go wrong
This is a small pilot study, so the AI model may not be accurate enough yet. The results may not apply to all hospitals or patients, and the technology needs further validation.
Disclaimer
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica
RECRUITINGRoma, 00168, Italy
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Email: •••••@•••••