AI reads CT scans to predict lung cancer years before it starts

NCT ID NCT07685028

Not yet recruiting Diagnosis Sponsor: Massachusetts General Hospital Source: ClinicalTrials.gov ↗

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study tests whether an artificial intelligence (AI) model called Sybil can predict a person's risk of developing lung cancer based on a CT scan of the chest. The study enrolls people aged 18 to 80 who have a family history of lung cancer. Participants receive a CT scan, and the AI analyzes the images to estimate the risk of lung cancer over the next several years. The goal is to see if this AI tool can accurately identify who is most likely to develop lung cancer, potentially leading to earlier detection and better outcomes.

What this could mean

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

Active substance: CT scan and Sybil AI model
What this could lead to: If successful, this AI tool could help identify people at high risk for lung cancer earlier, potentially improving survival through earlier detection.
What could go wrong: This is a relatively small study, and the AI model may not perform as well in this specific population as hoped. It is a prediction tool, not a cure or treatment.

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

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