Overview: The American College of Radiology Lung CT Screening Reporting and Data System (Lung-RADS) is designed to standardize lung cancer screening and provide management recommendations. The Lung Cancer Screening Registry (LCSR) allows data to be captured for quality reporting as required by CMS for lung cancer screening payment. Designed as an artificial intelligence (AI) validation study and artificial intelligence surveillance model, this project evaluates pre-market model validation and post-market model performance for an artificial intelligence algorithm used for lung cancer screening.
Specific aims include the following:
Impact for NESTcc: The project allows for the testing and validation of an artificial intelligence algorithm. It will provide learnings that will be scalable to other disease areas. It will include the capture of performance metrics within a national registry linking both AI model validation and AI model surveillance, providing real world evidence to measure safety and effectiveness.
Organization(s): American College of Radiology
Principal Investigator(s): Keith Dreyer, DO, PhD (Massachusetts General Hospital)