Open AccessDeep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency
Author(s) -
JaeHong Lee,
Young Taek Kim,
Jong Bin Lee,
SeongNyum Jeong
Publication year - 2022
Publication title -
journal of periodontal and implant science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 26
eISSN - 2093-2286
pISSN - 2093-2278
DOI - 10.5051/jpis.2104080204
Subject(s) - periodontist , medicine , periodontology , diagnostic accuracy , receiver operating characteristic , confusion matrix , certification , algorithm , dentistry , artificial intelligence , orthodontics , computer science , radiology , political science , law
The aim of this study was to evaluate and compare the accuracy performance of dental professionals in the classification of different types of dental implant systems (DISs) using panoramic radiographic images with and without the assistance of a deep learning (DL) algorithm.