Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study.

摘要: An artificial neural network approach was applied to the differential diagnosis of interstitial lung diseases. The designed distinguish between nine types diseases on basis 20 items clinical and radiographic information. A data base for training testing created with 10 hypothetical cases each performance evaluated by means receiver operating characteristic analysis. decision high; it comparable that chest radiologists superior senior radiology residents. preliminary results strongly suggest has potential utility in computer-aided