AI joins the fight against lung cancer: can software spot tumors better?

NCT ID NCT07280559

Not yet recruiting Diagnosis Sponsor: Taipei Veterans General Hospital, Taiwan Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence (AI) software can help radiologists find lung cancer on low-dose CT scans more accurately. About 1,120 adults at risk for lung cancer will be randomly assigned to have their scans read with or without AI assistance. The goal is to see if AI improves cancer detection rates and reduces false alarms, which could lead to better screening outcomes.

What this could mean

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

Active substance: AI-assisted low-dose CT interpretation software
What this could lead to: If successful, this could make lung cancer screening more accurate and efficient, potentially catching more cancers early and reducing unnecessary follow-ups.
What could go wrong: This is an early-stage study that hasn't started recruiting yet. The AI may not improve accuracy enough to change practice, and results may not apply to all populations or settings.

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.

lung neoplasm lung cancer prevention target

As listed by the trial registrant

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

LUNG CANCER

Contacts and locations

Locations

Taipei Veterans General Hospital

Taipei, Taiwan, 112, Taiwan

More trials for these conditions

Other studies related to the condition(s) this trial covers.