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ABSTRACT: Background and objective
Pulmonary nodules are commonly identified in clinical practice, frequently as incidental findings during imaging performed for unrelated indications. Their management poses significant clinical challenges, as accurate risk stratification and timely diagnosis are essential to distinguish benign from malignant lesions. However, variability in clinician expertise often results in inconsistent decision-making. Artificial intelligence (AI) offers promising solutions for standardizing pulmonary nodule assessment and enhancing clinician training. This narrative review systematically compiles the current status and research progress of the application of AI technology in the field of medical education, especially in the teaching of pulmonary nodule management, and
SUBMITTER: Pan W
PROVIDER: S-EPMC12541868 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature