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

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 soluti...

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Bibliographic Details
Published in:Orthodontics & craniofacial research Vol. 24; no. S2; pp. 26 - 36
Main Authors: Al Turkestani, Najla, Bianchi, Jonas, Deleat‐Besson, Romain, Le, Celia, Tengfei, Li, Prieto, Juan Carlos, Gurgel, Marcela, Ruellas, Antonio C. O., Massaro, Camila, Aliaga Del Castillo, Aron, Evangelista, Karine, Yatabe, Marilia, Benavides, Erika, Soki, Fabiana, Zhang, Winston, Najarian, Kayvan, Gryak, Jonathan, Styner, Martin, Fillion‐Robin, Jean‐Christophe, Paniagua, Beatriz, Soroushmehr, Reza, Cevidanes, Lucia H. S.
Format: Journal Article
Language:English
Published: England Wiley Subscription Services, Inc 01.12.2021
Subjects:
Artificial Intelligence
Data collection
Data processing
Data Science
Data storage
Decision support systems
Decision Support Systems, Clinical
Health care
Learning algorithms
Machine Learning
Medical equipment
Orthodontics
Temporomandibular joint
Well being
orthodontics
machine learning
artificial intelligence
decision support systems
ISSN:1601-6335, 1601-6343, 1601-6343
Online Access:Get full text
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Summary: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.
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AUTHOR CONTRIBUTIONS
Najla N. Al Turkestani: Formal analysis, Investigation, Methodology, Writing original draft. Jonas Bianchi, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Karine Evangelista, Marilia Yatabe: Writing–review & editing. Romain Deleat-Besson, Celia Le, Juan Carlos Prieto, Winston Zhang, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr: software engineering, Writing–review & editing. Li Tengfei: statistician, Writing – review & editing. Antonio Ruellas: Methodology, Writing–review & editing. Erika Benavides, Fabiana; radiological image interpretation, Writing–review & editing. Lucia Cevidanes: Conceptualization, Formal analysis, Investigation, Methodology, Writing–review & editing.
ISSN:1601-6335
1601-6343
1601-6343
DOI:10.1111/ocr.12492