دورية أكاديمية
Artificial Intelligence in Orthodontics: Critical Review.
| العنوان: | Artificial Intelligence in Orthodontics: Critical Review. |
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| المؤلفون: | Nordblom NF; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany., Büttner M; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany., Schwendicke F; Department of Conservative Dentistry and Periodontology, University Hospital, Ludwig-Maximilians University of Munich, Munich, Germany. |
| المصدر: | Journal of dental research [J Dent Res] 2024 Jun; Vol. 103 (6), pp. 577-584. Date of Electronic Publication: 2024 Apr 29. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Sage Country of Publication: United States NLM ID: 0354343 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1544-0591 (Electronic) Linking ISSN: 00220345 NLM ISO Abbreviation: J Dent Res Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Thousand Oaks, CA : Sage Original Publication: Chicago, American Dental Assn. [etc.] |
| مواضيع طبية MeSH: | Artificial Intelligence* , Orthodontics*/methods, Humans ; Patient Care Planning ; Cephalometry |
| مستخلص: | With increasing digitalization in orthodontics, certain orthodontic manufacturing processes such as the fabrication of indirect bonding trays, aligner production, or wire bending can be automated. However, orthodontic treatment planning and evaluation remains a specialist's task and responsibility. As the prediction of growth in orthodontic patients and response to orthodontic treatment is inherently complex and individual, orthodontists make use of features gathered from longitudinal, multimodal, and standardized orthodontic data sets. Currently, these data sets are used by the orthodontist to make informed, rule-based treatment decisions. In research, artificial intelligence (AI) has been successfully applied to assist orthodontists with the extraction of relevant data from such data sets. Here, AI has been applied for the analysis of clinical imagery, such as automated landmark detection in lateral cephalograms but also for evaluation of intraoral scans or photographic data. Furthermore, AI is applied to help orthodontists with decision support for treatment decisions such as the need for orthognathic surgery or for orthodontic tooth extractions. One major challenge in current AI research in orthodontics is the limited generalizability, as most studies use unicentric data with high risks of bias. Moreover, comparing AI across different studies and tasks is virtually impossible as both outcomes and outcome metrics vary widely, and underlying data sets are not standardized. Notably, only few AI applications in orthodontics have reached full clinical maturity and regulatory approval, and researchers in the field are tasked with tackling real-world evaluation and implementation of AI into the orthodontic workflow. Competing Interests: Declaration of Conflicting InterestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: F. Schwendicke is a cofounder of dentalXrai Ltd, a startup for medical image analytics using artificial intelligence. |
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| فهرسة مساهمة: | Keywords: AI; big data; computer vision/convolutional neural networks; deep learning/machine learning; orthodontic(s); treatment planning |
| تواريخ الأحداث: | Date Created: 20240429 Date Completed: 20240523 Latest Revision: 20240526 |
| رمز التحديث: | 20240526 |
| مُعرف محوري في PubMed: | PMC11118788 |
| DOI: | 10.1177/00220345241235606 |
| PMID: | 38682436 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1544-0591 |
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| DOI: | 10.1177/00220345241235606 |