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

Kaan Orhan İbrahim Şevki Bayrakdar Matvey Ezhov A Kravtsov Taha Özyürek

Published in: International endodontic journal (2020)

Volume measurements performed by humans and by AI systems were comparable to each other. AI systems based on deep learning methods can be useful for detecting periapical pathosis on CBCT images for clinical application.

Keyphrases

artificial intelligence
cone beam computed tomography
deep learning
big data
convolutional neural network
machine learning
computed tomography
magnetic resonance imaging
magnetic resonance