An overview of deep learning in the field of dentistry
Imaging Science in Dentistry
; : 1-7, 2019.
Article
in English
| WPRIM (Western Pacific)
| ID: wpr-740406
Responsible library:
WPRO
ABSTRACT
PURPOSE:
Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxillofacial radiology. MATERIALS ANDMETHODS:
A systematic review was performed using Pubmed, Scopus, and IEEE explore databases to identify articles using deep learning in English literature. The variables from 25 articles included network architecture, number of training data, evaluation result, pros and cons, study object and imaging modality.RESULTS:
Convolutional Neural network (CNN) was used as a main network component. The number of published paper and training datasets tended to increase, dealing with various field of dentistry.CONCLUSION:
Dental public datasets need to be constructed and data standardization is necessary for clinical application of deep learning in dental field.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Artificial Intelligence
/
Dentistry
/
Dataset
/
Learning
Type of study:
Overview
/
Prognostic study
Language:
English
Journal:
Imaging Science in Dentistry
Year:
2019
Document type:
Article