Clinical decision support systems in orthodontics: A narrative review of data science approaches
Department
Orthodontics
Document Type
Article
Publication Title
Orthodontics and Craniofacial Research
ISSN
1601-6335
DOI
10.1111/ocr.12492
Publication Date
5-11-2021
Abstract
Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (c) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.
Recommended Citation
Turkestani, N. A.,
Bianchi, J.,
Deleat-Besson, R.,
Le, C.,
Tengfei, L.,
Prieto, J. C.,
Gurgel, M.,
Ruellas, A. C.,
Massaro, C.,
Del Castillo, A. A.,
Evangelista, K.,
Yatabe, M.,
Benavides, E.,
Soki, F.,
Zhang, W.,
Najarian, K.,
Gryak, J.,
Styner, M.,
Fillion-Robin, J.,
Paniagua, B.,
Soroushmehr, R.,
&
Cevidanes, L. H.
(2021).
Clinical decision support systems in orthodontics: A narrative review of data science approaches.
Orthodontics and Craniofacial Research, ,
DOI: 10.1111/ocr.12492
https://scholarlycommons.pacific.edu/dugoni-facarticles/765
