AI-assisted follow-up for lung nodules found on CT scans
Part of Lungs & breathing clinical trials.
This study tests whether an artificial intelligence (AI) tool can help doctors manage lung nodules found on low-dose CT scans. The goal is to improve follow-up care and decisions, potentially helping to catch problems earlier while avoiding unnecessary procedures.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You must be 18 years of age or older.
- You are having a low-dose CT scan of your chest as part of a routine health check-up.
- The CT scan shows at least one lung nodule that needs further evaluation.
- You have not been diagnosed with lung cancer or are not currently receiving lung cancer treatment.
- You do not have a serious chest condition that requires immediate care, such as a collapsed lung or a large fluid buildup in the chest.
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 uses artificial intelligence (AI) to help doctors analyze lung nodules seen on CT scans, with the goal of improving diagnosis and follow-up. It may help people who have a lung nodule that needs monitoring or clarification.
This study tests whether an AI-based digital tool can help manage follow-up care for people with high-risk lung nodules (spots on the lung). It aims to improve monitoring and early detection of lung cancer.
This study checks if artificial intelligence (AI) can accurately read CT scans of lung nodules (spots on the lung) to tell if they are cancer. Your participation helps improve diagnosis and may lead to better care.
This study uses an AI computer program to help doctors read low-dose CT scans of the chest to find lung cancer early. It is for people at higher risk due to family history, smoking, or general health check-ups.
This trial tests whether using AI to help radiologists read lung CT scans can find cancer earlier and lower healthcare costs. You may qualify if you are at risk for lung cancer and have not been screened recently.
This study uses artificial intelligence to analyze CT scans and other health data to better identify people at risk for smoking-related diseases like lung cancer. Researchers hope to improve early detection and prevention.
Hear when a new Clinical Decision Support trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.