AI joins the fight against lung cancer: can software spot tumors better?
NCT ID NCT07280559
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.
Disclaimer
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the original study
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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: •••••@•••••
Locations
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Taipei Veterans General Hospital
Taipei, Taiwan, 112, Taiwan
Contact Phone: •••-•••-•••• Email: •••••@•••••