AI for Lung Cancer Risk Definition in Computed Tomography Screening Programs

Active, not recruitingOBSERVATIONAL
Enrollment

650

Participants

Timeline

Start Date

April 30, 2023

Primary Completion Date

October 30, 2024

Study Completion Date

April 30, 2026

Conditions
Lung CancerBlood Biomarkers
Interventions
DIAGNOSTIC_TEST

Artificial Intelligence risk model

Combining blood-based biomarkers, radiologic parameters, clinical features, and AI tools to create a robust model to predict lung cancer risk.

Trial Locations (1)

20133

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan

All Listed Sponsors
collaborator

University of Milano Bicocca

OTHER

lead

Fondazione IRCCS Istituto Nazionale dei Tumori, Milano

OTHER