Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.

ABSTRACT:

Aim

This study aims to evaluate the effectiveness of combined artificial intelligence (AI)-based tools for early patient identification, risk stratification and tracking in increasing the follow-up rate of incidentally detected lung nodules, potentially leading to earlier diagnoses of lung cancer, particularly non-small cell lung cancer (NSCLC).

Patients and methods

We conducted a retrospective cohort study involving all patients who underwent CT scans at an academic medical centre over an 8-month period. Real-world practice was compared with modelling of a hypothetical intervention with AI tools. This study was complemented by a multi-reader multi-case analysis to enhance the robustness of our findings.

Results

The implementation of AI tools significantly increased t

SUBMITTER: Hill NR 

PROVIDER: S-EPMC12636915 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature