AI prediction tool for lung nodule growth patterns
Part of Cancer, Lungs & breathing clinical trials.
This study uses artificial intelligence to predict how small lung nodules (called ground-glass nodules) will grow over time by analyzing repeated CT scans. The goal is to help doctors decide which nodules need surgery and which can be safely watched.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are at least 18 years old
- You have a small lung nodule (5–30 mm) that appears partly cloudy on CT scan
- You have had at least 2 CT scans of your chest, taken more than 1 month apart
- Your CT scans are high-quality (thin-slice, 1.5 mm or thinner) and clear enough to analyze
- You have complete medical records available (age, smoking history, family history, other health conditions)
- Your nodule has not already been removed, burned, or treated with radiation
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
Similar studies
Other trials that look related to this one.
This study is testing a new method to help tell whether a lung nodule is benign (non-cancerous) or malignant (cancerous). It is for people who already need a biopsy or surgery for their lung nodule.
This trial tests artificial intelligence (AI) models to predict whether a lung nodule found on a CT scan is likely cancerous. You may join if you have a nodule that will be biopsied or removed surgically, and your doctors can confirm its exact diagnosis.
This study uses CT scans and medical records to build a model that helps tell the difference between benign (non-cancerous) and malignant (cancerous) solid lung nodules. It aims to improve diagnosis and reduce unnecessary surgeries.
This study collects information from your chest CT scans and medical history to build an artificial intelligence model of how your lungs work. This 'digital twin' may help doctors better understand and predict lung health in the future.
This trial uses a new, non-invasive way to screen for lung cancer by combining your breath, blood, and CT scan images. The goal is to figure out whether a nodule found on a CT scan is cancerous or not, which could help patients avoid unnecessary procedures.
This study tests whether Optellum’s AI prediction tool can better identify which lung nodules found on CT scans are more likely to be cancer. You may be asked to provide specific types of CT images so the tool can be evaluated.
Hear when a new Pulmonary Nodules trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.