Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review
<i>Background and Objectives</i>: To systematically map and evaluate the current literature on the application of artificial intelligence (AI) in teleorthodontics, focusing on clinical use, technological approaches, outcomes, and limitations. <i>Materials and Methods</i>: A s...
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MDPI AG
2025-06-01
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| author | Alessandro Polizzi Sara Serra Rosalia Leonardi Gaetano Isola |
| author_facet | Alessandro Polizzi Sara Serra Rosalia Leonardi Gaetano Isola |
| author_sort | Alessandro Polizzi |
| collection | DOAJ |
| description | <i>Background and Objectives</i>: To systematically map and evaluate the current literature on the application of artificial intelligence (AI) in teleorthodontics, focusing on clinical use, technological approaches, outcomes, and limitations. <i>Materials and Methods</i>: A scoping review was conducted following a formal and recognized methodological framework. Three databases (PubMed, Scopus, Web of Science) were searched until 30 April 2025. Studies were included if they reported original data on AI applications in orthodontic remote monitoring or virtual care. Data extraction focused on study design, type of AI, clinical setting, reported outcomes, and main findings. <i>Results</i>: Nine studies met the inclusion criteria. Most research focused on the use of the Dental Monitoring™ (DM) system, which employs deep learning algorithms to analyze intraoral scans captured via smartphones. Reported benefits included reduced in-office visits (up to 33%), accurate 3D tracking of tooth movement, improved hygiene compliance, and high patient engagement. However, significant variability was observed in the repeatability and precision of AI decisions, especially in GO/NO-GO aligner progression instructions. One study explored an alternative system, StrojCHECK™, based on a decision tree algorithm, showing improved compliance with personalized feedback. <i>Conclusions</i>: AI-powered teleorthodontic systems show potential to enhance treatment efficiency and patient engagement, particularly in aligner therapy. However, their current clinical application remains narrowly focused on commercial monitoring platforms, with limited validation and transparency. This review highlights the early stage of real-world AI integration in orthodontics, underlining the need for independent validation, broader applications beyond monitoring, and robust ethical frameworks. In this context, AI should be used as a complementary tool, never a substitute, for clinical judgment. |
| format | Article |
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| publishDate | 2025-06-01 |
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| series | Medicina |
| spelling | doaj-art-4c8c72d0d16a4860bc319f28b96c46f02025-07-25T13:29:15ZengMDPI AGMedicina1010-660X1648-91442025-06-01617114110.3390/medicina61071141Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping ReviewAlessandro Polizzi0Sara Serra1Rosalia Leonardi2Gaetano Isola3Department of General Surgery and Medical-Surgical Specialities, University of Catania, 95124 Catania, ItalyDepartment of General Surgery and Medical-Surgical Specialities, University of Catania, 95124 Catania, ItalyDepartment of General Surgery and Medical-Surgical Specialities, University of Catania, 95124 Catania, ItalyDepartment of General Surgery and Medical-Surgical Specialities, University of Catania, 95124 Catania, Italy<i>Background and Objectives</i>: To systematically map and evaluate the current literature on the application of artificial intelligence (AI) in teleorthodontics, focusing on clinical use, technological approaches, outcomes, and limitations. <i>Materials and Methods</i>: A scoping review was conducted following a formal and recognized methodological framework. Three databases (PubMed, Scopus, Web of Science) were searched until 30 April 2025. Studies were included if they reported original data on AI applications in orthodontic remote monitoring or virtual care. Data extraction focused on study design, type of AI, clinical setting, reported outcomes, and main findings. <i>Results</i>: Nine studies met the inclusion criteria. Most research focused on the use of the Dental Monitoring™ (DM) system, which employs deep learning algorithms to analyze intraoral scans captured via smartphones. Reported benefits included reduced in-office visits (up to 33%), accurate 3D tracking of tooth movement, improved hygiene compliance, and high patient engagement. However, significant variability was observed in the repeatability and precision of AI decisions, especially in GO/NO-GO aligner progression instructions. One study explored an alternative system, StrojCHECK™, based on a decision tree algorithm, showing improved compliance with personalized feedback. <i>Conclusions</i>: AI-powered teleorthodontic systems show potential to enhance treatment efficiency and patient engagement, particularly in aligner therapy. However, their current clinical application remains narrowly focused on commercial monitoring platforms, with limited validation and transparency. This review highlights the early stage of real-world AI integration in orthodontics, underlining the need for independent validation, broader applications beyond monitoring, and robust ethical frameworks. In this context, AI should be used as a complementary tool, never a substitute, for clinical judgment.https://www.mdpi.com/1648-9144/61/7/1141artificial intelligenceclear aligner therapydeep learningdental monitoringremote monitoringteleorthodontics |
| spellingShingle | Alessandro Polizzi Sara Serra Rosalia Leonardi Gaetano Isola Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review Medicina artificial intelligence clear aligner therapy deep learning dental monitoring remote monitoring teleorthodontics |
| title | Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review |
| title_full | Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review |
| title_fullStr | Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review |
| title_full_unstemmed | Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review |
| title_short | Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review |
| title_sort | clinical applications of artificial intelligence in teleorthodontics a scoping review |
| topic | artificial intelligence clear aligner therapy deep learning dental monitoring remote monitoring teleorthodontics |
| url | https://www.mdpi.com/1648-9144/61/7/1141 |
| work_keys_str_mv | AT alessandropolizzi clinicalapplicationsofartificialintelligenceinteleorthodonticsascopingreview AT saraserra clinicalapplicationsofartificialintelligenceinteleorthodonticsascopingreview AT rosalialeonardi clinicalapplicationsofartificialintelligenceinteleorthodonticsascopingreview AT gaetanoisola clinicalapplicationsofartificialintelligenceinteleorthodonticsascopingreview |