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

被引：18

作者：

Al Turkestani, Najla ^{[1
,2
]}

Bianchi, Jonas ^{[1
,3
]}

Deleat-Besson, Romain ^{[1
]}

Le, Celia ^{[1
]}

Tengfei, Li ^{[4
]}

Prieto, Juan Carlos ^{[5
]}

Gurgel, Marcela ^{[1
]}

Ruellas, Antonio C. O. ^{[1
,6
]}

Massaro, Camila ^{[1
,7
]}

Aliaga Del Castillo, Aron ^{[1
,7
]}

Evangelista, Karine ^{[1
,8
]}

Yatabe, Marilia ^{[1
]}

Benavides, Erika ^{[9
]}

Soki, Fabiana ^{[9
]}

Zhang, Winston ^{[10
]}

Najarian, Kayvan ^{[10
]}

Gryak, Jonathan ^{[10
]}

Styner, Martin ^{[11
,12
]}

Fillion-Robin, Jean-Christophe ^{[13
]}

Paniagua, Beatriz ^{[13
]}

Soroushmehr, Reza ^{[10
]}

Cevidanes, Lucia H. S. ^{[1
]}

机构：

[1] Univ Michigan, Sch Dent, Dept Orthodont & Pediat Dent, 1011 North Univ Ave, Ann Arbor, MI 48109 USA

[2] King Abdulaziz Univ, Fac Dent, Dept Restorat & Aesthet Dent, Jeddah, Saudi Arabia

[3] Univ Pacific, Arthur A Dugoni Sch Dent, Dept Orthodont, San Francisco, CA USA

[4] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27515 USA

[5] Univ N Carolina, Dept Psychiat, Chapel Hill, NC 27515 USA

[6] Univ Fed Rio de Janeiro, Sch Dent, Dept Orthodont, Rio De Janeiro, Brazil

[7] Univ Sao Paulo, Bauru Dent Sch, Dept Orthodont, Sao Paulo, Brazil

[8] Univ Goias, Sch Dent, Dept Orthodont, Goiania, Go, Brazil

[9] Univ Michigan, Sch Dent, Dept Periodont & Oral Med, Ann Arbor, MI 48109 USA

[10] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA

[11] Univ N Carolina, Dept Psychiat, Chapel Hill, NC 27515 USA

[12] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC 27515 USA

[13] Kitware Inc, Carrboro, NC USA

来源：

ORTHODONTICS & CRANIOFACIAL RESEARCH | 2021年 / 24卷

关键词：

artificial intelligence; decision support systems; machine learning; orthodontics; ARTIFICIAL-INTELLIGENCE; BIG DATA; HEALTH-CARE; NETWORK; PERFORMANCE; CHALLENGES; DIAGNOSIS; BENEFITS; GROWTH;

D O I：

10.1111/ocr.12492

中图分类号：

R78 [口腔科学];

学科分类号：

1003 ;

摘要：

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.

引用

页码：26 / 36

页数：11

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