AI + blood test could spot lung cancer earlier in smokers

NCT ID NCT06320184

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether combining artificial intelligence with blood biomarkers and CT scan features can better predict lung cancer risk in heavy smokers. Researchers will analyze data from 650 participants to develop a risk model that improves screening accuracy and reduces unnecessary follow-ups. The goal is to make lung cancer screening more precise and effective.

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 risk model combining blood biomarkers, radiologic parameters, and clinical features

What this could lead to

If successful, this could lead to a more accurate, non-invasive way to identify who is at high risk for lung cancer, reducing unnecessary procedures and catching cancers earlier.

What could go wrong

This is an observational study, not a treatment trial. The AI model may not perform as well in real-world settings, and results may take years to validate.

Disclaimer Read more

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.

lung cancer lung neoplasm

As listed by the trial registrant

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

Contacts and locations

Locations

  • Fondazione IRCCS Istituto Nazionale dei Tumori

    Milan, 20133, Italy