Effectiveness of Machine Learning in Assessing the Diagnostic Quality of Bitewing Radiographs

Effectiveness of Machine Learning in Assessing the Diagnostic Quality of Bitewing Radiographs

Background: Identifying the diagnostic value of bitewing radiographs (BW) is highly dependent on the operator’s knowledge and experience. The aim of this study is to assess the effectiveness of machine learning (ML) to classify the BW according to their diagnostic quality. Methods: 864 BW radiograph...

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Bibliographic Details
Main Authors: Mohammed A. Barayan, Arwa A. Qawas, Asma S. Alghamdi, Turki S. Alkhallagi, Raghad A. Al-Dabbagh, Ghadah A. Aldabbagh, Amal I. Linjawi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
artificial intelligence
bitewing radiographs
contact areas
machine learning
radiographic errors
Online Access:https://www.mdpi.com/2076-3417/12/19/9588

Internet

https://www.mdpi.com/2076-3417/12/19/9588

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