BACKGROUND: The growing demand for follow-up imaging highlights the need for tools supporting the assessment of pulmonary nodules over time. We evaluated the performance of an artificial intelligence (AI)-based system for automated nodule matching. METHODS: In this single-center study, patients with nodules and
- Fink, N.
- Sperl, J. I.
- Rueckel, J.
- Stüber, T.
- Goller, S. S.
- Rudolph, J.
- Escher, F.
- Aschauer, T.
- Hoppe, B. F.
- Ricke, J.
- Sabel, B. O.
Keywords
- Humans
- Middle Aged
- Female
- *Artificial Intelligence
- Male
- Aged
- *Tomography, X-Ray Computed/methods
- Retrospective Studies
- *Lung Neoplasms/diagnostic imaging
- *Multiple Pulmonary Nodules/diagnostic imaging
- Algorithms
- *Solitary Pulmonary Nodule/diagnostic imaging
- Follow-Up Studies
- *Radiographic Image Interpretation, Computer-Assisted/methods
- Artificial intelligence
- Diagnostic techniques and procedures
- Lung neoplasms
- Multiple pulmonary nodules
- Tomography (x-ray computed)
