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- Publisher Website: 10.3390/healthcare11202760
- Scopus: eid_2-s2.0-85175374735
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Article: Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
| Title | Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives |
|---|---|
| Authors | |
| Keywords | artificial intelligence deep learning machine learning orthodontics |
| Issue Date | 18-Oct-2023 |
| Publisher | MDPI |
| Citation | Healthcare, 2023, v. 11, n. 20 How to Cite? |
| Abstract | In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives. |
| Persistent Identifier | http://hdl.handle.net/10722/343996 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Junqi | - |
| dc.contributor.author | Zhang, Chengfei | - |
| dc.contributor.author | Shan, Zhiyi | - |
| dc.date.accessioned | 2024-06-25T03:29:29Z | - |
| dc.date.available | 2024-06-25T03:29:29Z | - |
| dc.date.issued | 2023-10-18 | - |
| dc.identifier.citation | Healthcare, 2023, v. 11, n. 20 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/343996 | - |
| dc.description.abstract | <p>In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | MDPI | - |
| dc.relation.ispartof | Healthcare | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | artificial intelligence | - |
| dc.subject | deep learning | - |
| dc.subject | machine learning | - |
| dc.subject | orthodontics | - |
| dc.title | Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3390/healthcare11202760 | - |
| dc.identifier.scopus | eid_2-s2.0-85175374735 | - |
| dc.identifier.volume | 11 | - |
| dc.identifier.issue | 20 | - |
| dc.identifier.eissn | 2227-9032 | - |
| dc.identifier.issnl | 2227-9032 | - |