An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics

Autor: Lichuan Zhang, Yue Shao, Guangmei Chen, Simiao Tian, Qing Zhang, Jianlin Wu, Chunxue Bai, Dawei Yang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Medicine, Vol 10 (2023)
Druh dokumentu: article
ISSN: 2296-858X
DOI: 10.3389/fmed.2023.1286433
Popis: ObjectivesThis study aimed to explore the value of an artificial intelligence (AI)-assisted diagnostic system in the prediction of pulmonary nodules.MethodsThe AI system was able to make predictions of benign or malignant nodules. 260 cases of solitary pulmonary nodules (SPNs) were divided into 173 malignant cases and 87 benign cases based on the surgical pathological diagnosis. A stratified data analysis was applied to compare the diagnostic effectiveness of the AI system to distinguish between the subgroups with different clinical characteristics.ResultsThe accuracy of AI system in judging benignity and malignancy of the nodules was 75.77% (p
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