Clinical trial · Observational
Artificial Intelligence in Lung Cancer Screening
Development of an Artificial Intelligence Model in Lung Cancer Screening for the Diagnosis of Lung Nodules and Risk Stratification in Subjects With Occupational and/or Smoking Exposure
NCT06444373CI-TRIAL-00077754INAIL BRICcompletedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Asbestos | — | UNRESOLVED | — |
| Lung Cancer Screening | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- subjects enrolled in lung cancer screening
- description
- Actual Smokers or formers smoker; Age \> 50 years.
Primary outcomes (1)
- measure
- AIM 1 Pilot deep learning model
- timeFrame
- from enrollment to the end of treatment at 2 years
- description
- Development and fine-tuning of a pilot deep learning model for automatic detection and diagnosis of screen-detected nodules for risk stratification in subjects with asbestos exposure as part of a lung cancer screening program in high-risk subjects for exposure to asbestos and smoking on retrospective data.
Secondary outcomes (1)
- measure
- AIM 2 Clinical database
- timeFrame
- from enrollment to the end of treatment at 2 years
- description
- Development of an integrated system between the clinical database and several existing imaging volumetric software and risk models for the creation of a pilot platform in order to optimize the organizational management of lung cancer screening.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 50 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available
No reference posted for this study.