Clin2
NCT05389774Possibly a fitRecruiting

Testing an AI tool that predicts lung cancer risk from CT scans

AI (Artificial Intelligence)Pulmonary Nodule, SolitaryPulmonary Nodule, MultipleLung Cancer

Part of Cancer, Lungs & breathing clinical trials.

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.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
2,000 people
Ages
35 years and older
Study type
Observational

Who can take part

  • You are age 35 or older
  • Your baseline CT scan shows a lung nodule with a solid part at least 80%
  • The nodule is between 5 and 30 mm (about 0.2 to 1.2 inches) on the CT scan
  • The nodule is not fully calcified (not completely calcified on the CT)
  • Your CT scan includes specific high-quality full-breath images taken without major contrast issues

View the official record on ClinicalTrials.gov

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.

NCT05968898Recruiting
Computer helps analyze lung nodules on CT scans

This study tests a computer tool that uses patterns from your chest CT scan to help assess an unclear lung nodule. It may help doctors decide which nodules need closer attention.

Philadelphia, Pennsylvania
NCT05375591Recruiting
AI study to sort lung nodules after past cancer treatment

This study uses computer tools (AI) and detailed scan patterns to better classify new lung nodules in people who previously had curative-intent cancer treatment. It may help doctors decide whether a nodule is likely benign or cancer, using your CT scan and related medical history.

London
NCT07370077Recruiting
Early screening for lung nodules with breath, blood, and CT scans

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.

Beijing, Beijing Municipality
NCT06778512Recruiting
Lung nodule study: using CT scans and breathing tests

This study looks at lung nodules found on CT scans. Researchers will collect data from your breathing tests and CT scans to better understand how these nodules relate to lung cancer.

Guangzhou, Guangdong
NCT06685458Not yet recruiting
Predicting if a lung nodule is cancer using CT scans

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.

NCT07458425Recruiting
Lung cancer screening study using AI

This study tests how well an AI tool can predict lung cancer risk, based on your health information. It looks at how patients feel about this approach to screening, with the goal of making screening more personal and effective.

Chicago, Illinois

Hear when a new Pulmonary Nodule, Solitary trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.