Can AI spot ovarian cancer on CT scans before It's too late?

NCT ID NCT06851429

Recruiting now Diagnosis Sponsor: Chang Gung Memorial Hospital Source: ClinicalTrials.gov ↗

First seen Aug 12, 2026 · Last updated Aug 13, 2026 · Updated 1 time

Summary

This study is testing whether an artificial intelligence (AI) tool called CAT-OV can accurately identify ovarian cancer on CT scans. Ovarian cancer is often found late, when it's harder to treat, and current screening methods aren't reliable enough. The AI is being trained and tested on thousands of CT scans from women in Taiwan and the United States to see if it can flag signs of cancer that might be missed. If it works, this could lead to a new way to catch the disease earlier.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: A deep learning-based computer-aided diagnosis tool (CAT-OV) that analyzes CT images to identify ovarian cancer.
What this could lead to: If successful, this AI tool could help doctors spot ovarian cancer earlier on routine CT scans, potentially improving survival rates.
What could go wrong: The tool is still in development and needs further validation. It may not work equally well across all populations or imaging settings, and false positives or negatives remain possible.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

ovarian cancer

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

OVARIAN CANCER

Contacts and locations

Locations

Chang Gung Memorial Hospital
COMPLETED

Taoyuan City, Guishan District, 333, Taiwan
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital
RECRUITING

Taoyuan, Guishan, 333, Taiwan

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