Clinical decision support systems in orthodontics: A narrative review of data science approaches. (24th May 2021)

• Record Type: Journal Article
• 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.
• Other Names: Yamashiro Takashi guestEditor.; Ko Ching‐Chang guestEditor.
• Is Part Of: Orthodontics and craniofacial research. Volume 24(2021)Supplement 2
• Page Start: 26
• Page End: 36
• Publication Date: 2021-05-24
• Subjects: artificial intelligence -- decision support systems -- machine learning -- orthodontics; Skull -- Growth -- Periodicals; Facial bones -- Growth -- Periodicals; Orthodontics -- Periodicals; Orthodontics, Corrective -- Periodicals; Orthodontic appliances -- Periodicals; 617.51
• DOI: 10.1111/ocr.12492
• Languages: English
• ISSNs: 1601-6335

Abstract

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.