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A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases.
Caruso, Silvia; Caruso, Sara; Pellegrino, Marianna; Skafi, Rayan; Nota, Alessandro; Tecco, Simona.
  • Caruso S; Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
  • Caruso S; Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
  • Pellegrino M; Private Practice in Dentistry, 81100 Caserta, Italy.
  • Skafi R; Private Practice in Dentistry, 75001 Paris, France.
  • Nota A; Dental School, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, 20132 Milano, Italy.
  • Tecco S; Dental School, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, 20132 Milano, Italy.
Sensors (Basel) ; 21(5)2021 Mar 07.
Article in English | MEDLINE | ID: covidwho-1134223
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tooth Movement Techniques / Software / Artificial Intelligence / Orthodontic Appliance Design / Telemedicine Type of study: Case report / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Humans Country/Region as subject: Europa Language: English Year: 2021 Document Type: Article Affiliation country: S21051856

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tooth Movement Techniques / Software / Artificial Intelligence / Orthodontic Appliance Design / Telemedicine Type of study: Case report / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Humans Country/Region as subject: Europa Language: English Year: 2021 Document Type: Article Affiliation country: S21051856