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ABSTRACT: Objective
To evaluate the diagnostic value of artificial intelligence (AI) in the detection and management of benign and malignant pulmonary nodules (PNs) using computed tomography (CT) density.Methods
A retrospective analysis was conducted on the clinical data of 130 individuals diagnosed with PNs based on pathological confirmation. The utilization of AI and physicians has been employed in the diagnostic process of distinguishing benign and malignant PNs. The CT images depicting PNs were integrated into AI-based software. The gold standard for evaluating the accuracy of AI diagnosis software and physician interpretation was the pathological diagnosis.Results
Out of 226 PNs screened from 130 patients diagnosed by AI and physician reading based on CT, 147 were confir
SUBMITTER: Fan W
PROVIDER: S-EPMC10768667 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature