This study is looking into whether an artificial intelligence model called Sybil can accurately predict the chance of developing lung cancer in people with a family history of the disease. Sybil uses images from a previous CT scan (computed tomography scan, a special X-ray) to make these predictions. You can join if you are 18 or older and have a family history of lung cancer (meaning at least one close relative like a parent, sibling, or child, or at least two second-degree relatives like a grandparent or aunt/uncle, had lung cancer). The study will look at how well Sybil predicts future lung cancer diagnoses for up to two years after your CT scan. The current recruitment status is unclear, but the study plans to include 2,250 participants.

Study design

This is an observational study that plans to enroll 2,250 participants. It is not a treatment study.

What's involved

You would provide answers to a questionnaire about your medical history, family lung cancer history, and exposures. You would also contribute images from at least one previously obtained CT chest scan.

Compensation

Not stated in the trial record.

Follow-up

Sybil's performance will be measured for up to 2 years from the date your retrospective CT scan was received.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.