An AI-enabled lung nodule management program facilitated an 87% follow-up of nodules identified during CT scans, according to a study published Oct. 23 in the Journal of Thoracic Oncology.
Researchers at Rochester, Minn.-based Mayo Clinic used natural language processing software to capture lung nodules found in CT studies between December 2023 and July 2025, a Dec. 9 news release from the health system said.
Here are five notes on the findings:
- During the study period, 27,284 nodules were identified. Nodules detected in patients receiving active cancer therapy or surveillance were excluded.
- After the AI software flagged the nodules within the EHR, the nodules were reviewed and classified by a team of RN-level nurse navigators.
- Of the 6,979 nodules included in the study, 87% were classified as engaged and 13% were classified re-engaged incidental. Those patients with a primary health professional at Mayo Clinic were enrolled into a surveillance program.
- These nodules triggered 389 follow-up chest CT scans, 107 visits to Mayo Clinic’s Lung Nodule, Mass and Adenopathy Clinic, 50 PET-CT scans, six bronchoscopies and two CT-guided lung biopsies.
- Nine patients were diagnosed with lung cancer.
Read the full study here.

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