Dr. Vishisht Mehta (Medicine) and colleagues published their paper, "Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study," in BMJ Open Respiratory Research. This study aimed to evaluate the effectiveness of combined artificial intelligence (AI)-based tools for increasing the follow-up rate of incidentally detected lung nodules, potentially leading to earlier diagnoses of lung cancer. The implementation of AI tools significantly increased the rates of guideline-concordant follow-up for detected nodules, rising from 34% without the tool to 94% with the AI intervention and the median time to diagnosis of NSCLC was reduced from 129 days to 25 days. These findings provide compelling evidence that AI tools can enhance the follow-up rates for patients with incidentally detected lung nodules and expedite the diagnosis of lung cancer. The integration of AI in clinical practice may significantly improve patient outcomes in lung cancer detection and management.