A deep learning approach for dental implant planning in cone-beam computed tomography images

A deep learning approach for dental implant planning in cone-beam computed tomography images

Abstract Background The aim of this study was to evaluate the success of the artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images. Methods Seventy-five CBCT images were included in this study. In these images, bone height and thi...

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Bibliographic Details
Main Authors: Sevda Kurt Bayrakdar, Kaan Orhan, Ibrahim Sevki Bayrakdar, Elif Bilgir, Matvey Ezhov, Maxim Gusarev, Eugene Shumilov
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence
Dental implant
Implant planning
Dentistry
Online Access:https://doi.org/10.1186/s12880-021-00618-z

Internet

https://doi.org/10.1186/s12880-021-00618-z

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