Next Article in Journal
Wearable Sensors in Sports for Persons with Disability: A Systematic Review
Next Article in Special Issue
Gated Graph Attention Network for Cancer Prediction
Previous Article in Journal
Modeling, Fabrication and Integration of Wearable Smart Sensors in a Monitoring Platform for Diabetic Patients
Previous Article in Special Issue
Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection
Case Report

A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases

1
Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
2
Private Practice in Dentistry, 81100 Caserta, Italy
3
Private Practice in Dentistry, 75001 Paris, France
4
Dental School, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, 20132 Milano, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Zongyuan Ge
Sensors 2021, 21(5), 1856; https://doi.org/10.3390/s21051856
Received: 20 January 2021 / Revised: 1 March 2021 / Accepted: 4 March 2021 / Published: 7 March 2021
(This article belongs to the Special Issue Healthcare Monitoring and Management with Artificial Intelligence)
Background: In the dental field, digital technology has created new opportunities for orthodontists to integrate their clinical practice, and for patients to collect information about orthodontics and their treatment, which is called “teledentistry.” Dental monitoring (DM) is a recently introduced orthodontic application that combines safe teledentistry with artificial intelligence (AI) using a knowledge-based algorithm, allowing an accurate semi-automatic monitoring of the treatment. Dental Monitoring is the world’s first SaaS (Software as a Service) application designed for remote monitoring of dental treatment, developed in Paris, France, with Philippe Salah as the Co-founder and CEO. Cases presentation: This report describes two cases in which DM system was essential to achieve the control of certain movements: it was possible to follow the movement, even if complex, such as the anterior cross of an adult patient and a lack of space in the canine of the growing patient. The software analyzed the fit and retention of the aligner, thus ensuring correct biomechanics. They were treated during the COVID-19 pandemic lockdown with aligners. The first case is a growing patient who was monitored during an interceptive orthodontic treatment to manage a retained upper canine. The second case is an adult patient forced to finalize his treatment of upper lateral incisor crossbite. The software analyzed the fit and retention of the aligner, thus ensuring correct biomechanics. Conclusions: DM system appears to be a promising method, useful for improving the interaction between doctor and patient, generally acceptable and useful to patients, even in critical clinical situations, at least in cases with optimal compliance and ability to use the tool properly. View Full-Text
Keywords: artificial intelligence; app; orthodontics; smartphone; teledentistry; interceptive orthodontics; removable orthodontic appliance artificial intelligence; app; orthodontics; smartphone; teledentistry; interceptive orthodontics; removable orthodontic appliance
Show Figures

Figure 1

MDPI and ACS Style

Caruso, S.; Caruso, S.; Pellegrino, M.; Skafi, R.; Nota, A.; Tecco, S. A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases. Sensors 2021, 21, 1856. https://doi.org/10.3390/s21051856

AMA Style

Caruso S, Caruso S, Pellegrino M, Skafi R, Nota A, Tecco S. A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases. Sensors. 2021; 21(5):1856. https://doi.org/10.3390/s21051856

Chicago/Turabian Style

Caruso, Silvia; Caruso, Sara; Pellegrino, Marianna; Skafi, Rayan; Nota, Alessandro; Tecco, Simona. 2021. "A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases" Sensors 21, no. 5: 1856. https://doi.org/10.3390/s21051856

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop