AI camera could guide ovarian cancer surgery decisions
NCT ID NCT06017557
First seen Jan 11, 2026 · Last updated Jun 13, 2026 · Updated 29 times
Summary
This study tests whether artificial intelligence (AI) can analyze video from a camera inserted into the abdomen (laparoscopy) to predict how much cancer can be removed during surgery in people with advanced ovarian cancer. About 151 participants will be enrolled. The goal is to help doctors choose the best treatment—surgery or chemotherapy first—more accurately and consistently.
Disclaimer
Read more
Show less
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for OVARIAN CANCER STAGE IV are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica
RECRUITINGRoma, 00168, Italy
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Email: •••••@•••••
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.