Single-center, non-profit, observational, retrospective study of collection of clinical and amnestic data and images to create, implement and develop a pilot model of an integrated virtual platform.

The project we propose is a study whose objective was to develop an artificial intelligence program integrated into a web-based platform for the optimization of the performance of lung cancer screening for the diagnosis of lung nodules and risk stratification in subjects exposed to environmental carcinogens and/or cigarette smoke.

Inclusion criteria:

Age > 50; smokers for at least 20 pack-years (20 cigarillos a day for 20 years) or former heavy smokers if they quit less than 15 years ago; and/or previous professional exposure to asbestos; absence of lung cancer symptoms; who performed lung cancer screening after the year 2000 upon approval of the study by the relevant EC.

Inclusion Criteria:

• Age > 50 years;
• smokers for at least 20 pack-years (20 cigarettes a day for 20 years) or former heavy smokers if they quit less than 15 years ago;
• and/or previous professional exposure to asbestos;
• absence of lung cancer symptoms;
• who performed lung cancer screening after the year 2000 upon approval of the study by the relevant Etical Committee

Exclusion Criteria:

• Age < 50 years
• never smokers
• lung cancer symptoms

Age > 50 years; smokers for at least 20 pack-years (20 cigarettes a day for 20 years) or former heavy smokers if they quit less than 15 years ago; and/or previous professional exposure to asbestos.

All subjects were enrolled in lung cancer screening program.