Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans

Aim To verify the diagnostic performance of an artificial intelligence system based on the deep convolutional neural network method to detect periapical pathosis on cone‐beam computed tomography (CBCT) images. Methodology images of 153 periapical lesions obtained from 109 patients were included. The...

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