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Review
. 2021 Dec;24 Suppl 2(Suppl 2):26-36.
doi: 10.1111/ocr.12492. Epub 2021 May 24.

Clinical decision support systems in orthodontics: A narrative review of data science approaches

Najla Al Turkestani  1   2 , Jonas Bianchi  1   3 , Romain Deleat-Besson  1 , Celia Le  1 , Li Tengfei  4 , Juan Carlos Prieto  5 , Marcela Gurgel  1 , Antonio C O Ruellas  1   6 , Camila Massaro  1   7 , Aron Aliaga Del Castillo  1   7 , Karine Evangelista  1   8 , Marilia Yatabe  1 , Erika Benavides  9 , Fabiana Soki  9 , Winston Zhang  10 , Kayvan Najarian  10 , Jonathan Gryak  10 , Martin Styner  11 , Jean-Christophe Fillion-Robin  12 , Beatriz Paniagua  12 , Reza Soroushmehr  10 , Lucia H S Cevidanes  1
Affiliations
Review

Clinical decision support systems in orthodontics: A narrative review of data science approaches

Najla Al Turkestani et al. Orthod Craniofac Res. 2021 Dec.

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.

Keywords: artificial intelligence; decision support systems; machine learning; orthodontics.

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Conflict of interest statement

CONFLICT OF INTEREST

The authors declare no potential conflicts of interest with respect to the authorship and/or publication of this article.

Figures

FIGURE 1
FIGURE 1
Gaps of knowledge in (A) TMJ and (B) Dental diagnosis and prognosis assessment tools
FIGURE 2
FIGURE 2
Overview of steps involved in developing clinical decision support systems (CDSSs). A, General spectrum of data science approaches in the CDSSs. B, Implementation of robust data management, Dental Storage for Computation and Integration, in the CDSSs
FIGURE 3
FIGURE 3
Data science approaches in the TMJ clinical decision support system
FIGURE 4
FIGURE 4
Sequence of data science approaches in the dental decision support system
See this image and copyright information in PMC

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