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Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System
Treatment of malocclusion with clear removable appliances like Invisalign or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient's discipline. Smart treatment co...
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Published in: | Healthcare (Basel) 2021-12, Vol.9 (12), p.1695 |
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creator | Thurzo, Andrej Kurilová, Veronika Varga, Ivan |
description | Treatment of malocclusion with clear removable appliances like Invisalign
or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient's discipline. Smart treatment coaching applications, like strojCHECK
are efficient for improving patient compliance.
To evaluate the impact of computerized personalized decision algorithms responding to observed and anticipated patient behavior implemented as an update of an existing clinical orthodontic application (app).
Variables such as (1) patient app interaction, (2) patient app discipline and (3) clinical aligner tracking evaluated by artificial intelligence system (AI) system-Dental monitoring
were observed on the set of 86 patients. Two 60-day periods were evaluated; before and after the app was updated with decision tree processes.
All variables showed significant improvement after the update except for the manifestation of clinical non-tracking in men, evaluated by artificial intelligence from video scans.
Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients' compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization. |
doi_str_mv | 10.3390/healthcare9121695 |
format | article |
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or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient's discipline. Smart treatment coaching applications, like strojCHECK
are efficient for improving patient compliance.
To evaluate the impact of computerized personalized decision algorithms responding to observed and anticipated patient behavior implemented as an update of an existing clinical orthodontic application (app).
Variables such as (1) patient app interaction, (2) patient app discipline and (3) clinical aligner tracking evaluated by artificial intelligence system (AI) system-Dental monitoring
were observed on the set of 86 patients. Two 60-day periods were evaluated; before and after the app was updated with decision tree processes.
All variables showed significant improvement after the update except for the manifestation of clinical non-tracking in men, evaluated by artificial intelligence from video scans.
Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients' compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization.</description><identifier>ISSN: 2227-9032</identifier><identifier>EISSN: 2227-9032</identifier><identifier>DOI: 10.3390/healthcare9121695</identifier><identifier>PMID: 34946421</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; Artificial intelligence ; behavior change techniques ; clear aligners ; computerized learning ; Dental occlusion ; Oral hygiene ; orthodontic treatment ; Orthodontics ; Patients ; smart application ; Smartphones ; Teeth ; Telemedicine</subject><ispartof>Healthcare (Basel), 2021-12, Vol.9 (12), p.1695</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-c78bd715aa4a1a94c7977064fa1421755bde76381bf0635f2573980fd6a7639a3</citedby><cites>FETCH-LOGICAL-c493t-c78bd715aa4a1a94c7977064fa1421755bde76381bf0635f2573980fd6a7639a3</cites><orcidid>0000-0002-7810-5721</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2612766651/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2612766651?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74284,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34946421$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thurzo, Andrej</creatorcontrib><creatorcontrib>Kurilová, Veronika</creatorcontrib><creatorcontrib>Varga, Ivan</creatorcontrib><title>Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System</title><title>Healthcare (Basel)</title><addtitle>Healthcare (Basel)</addtitle><description>Treatment of malocclusion with clear removable appliances like Invisalign
or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient's discipline. Smart treatment coaching applications, like strojCHECK
are efficient for improving patient compliance.
To evaluate the impact of computerized personalized decision algorithms responding to observed and anticipated patient behavior implemented as an update of an existing clinical orthodontic application (app).
Variables such as (1) patient app interaction, (2) patient app discipline and (3) clinical aligner tracking evaluated by artificial intelligence system (AI) system-Dental monitoring
were observed on the set of 86 patients. Two 60-day periods were evaluated; before and after the app was updated with decision tree processes.
All variables showed significant improvement after the update except for the manifestation of clinical non-tracking in men, evaluated by artificial intelligence from video scans.
Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients' compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization.</description><subject>Algorithms</subject><subject>Artificial intelligence</subject><subject>behavior change techniques</subject><subject>clear aligners</subject><subject>computerized learning</subject><subject>Dental occlusion</subject><subject>Oral hygiene</subject><subject>orthodontic treatment</subject><subject>Orthodontics</subject><subject>Patients</subject><subject>smart application</subject><subject>Smartphones</subject><subject>Teeth</subject><subject>Telemedicine</subject><issn>2227-9032</issn><issn>2227-9032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplkt9qFDEUxgdRbKl9AG8k4I03o_k3yeRGWBa1A5UWul6Hs5nMTpZMsmaylb6Qz2m2W0uruUk4-b4f50tOVb0l-CNjCn8aLfg8GkhWEUqEal5Up5RSWSvM6Msn55PqfJ63uCxFWMua19UJ44oLTslp9XuRshucceBRF7L13m1sMBa5gK5SHmMfQ3YG3UyQMlrsdt4ZyC4GNMSEVslCnmzIaBnBjC5sEIQedXlG3bQDk1ERLr0LxeTRtU3FNMEBHwd0XTjFOqPvMbgck-3RL5dHtOjqlfX24j4furmbs53eVK8G8LM9f9jPqh9fv6yWF_Xl1bduubisDVcs10a2616SBoADAcWNVFJiwQcgJa1smnVvpWAtWQ9YsGagjWSqxUMvoJQVsLOqO3L7CFu9S67EvtMRnL4vxLTR5R2c8VZTBZJJDIQozm3L14wS3BLWSAGWAimsz0fWbr-ebG9K1gT-GfT5TXCj3sRb3UpMKBcF8OEBkOLPvZ2zntxsyhdBsHE_aypKKqYaiov0_T_SbdynUJ7qoKJSCNEcOiJHlUlxnpMdHpshWB-GSv83VMXz7mmKR8ffEWJ_AKNly40</recordid><startdate>20211207</startdate><enddate>20211207</enddate><creator>Thurzo, Andrej</creator><creator>Kurilová, Veronika</creator><creator>Varga, Ivan</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7810-5721</orcidid></search><sort><creationdate>20211207</creationdate><title>Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System</title><author>Thurzo, Andrej ; Kurilová, Veronika ; Varga, Ivan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-c78bd715aa4a1a94c7977064fa1421755bde76381bf0635f2573980fd6a7639a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Artificial intelligence</topic><topic>behavior change techniques</topic><topic>clear aligners</topic><topic>computerized learning</topic><topic>Dental occlusion</topic><topic>Oral hygiene</topic><topic>orthodontic treatment</topic><topic>Orthodontics</topic><topic>Patients</topic><topic>smart application</topic><topic>Smartphones</topic><topic>Teeth</topic><topic>Telemedicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thurzo, Andrej</creatorcontrib><creatorcontrib>Kurilová, Veronika</creatorcontrib><creatorcontrib>Varga, Ivan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database (Proquest)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Healthcare (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thurzo, Andrej</au><au>Kurilová, Veronika</au><au>Varga, Ivan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System</atitle><jtitle>Healthcare (Basel)</jtitle><addtitle>Healthcare (Basel)</addtitle><date>2021-12-07</date><risdate>2021</risdate><volume>9</volume><issue>12</issue><spage>1695</spage><pages>1695-</pages><issn>2227-9032</issn><eissn>2227-9032</eissn><abstract>Treatment of malocclusion with clear removable appliances like Invisalign
or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment efficiency strongly depend on the patient's discipline. Smart treatment coaching applications, like strojCHECK
are efficient for improving patient compliance.
To evaluate the impact of computerized personalized decision algorithms responding to observed and anticipated patient behavior implemented as an update of an existing clinical orthodontic application (app).
Variables such as (1) patient app interaction, (2) patient app discipline and (3) clinical aligner tracking evaluated by artificial intelligence system (AI) system-Dental monitoring
were observed on the set of 86 patients. Two 60-day periods were evaluated; before and after the app was updated with decision tree processes.
All variables showed significant improvement after the update except for the manifestation of clinical non-tracking in men, evaluated by artificial intelligence from video scans.
Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients' compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>34946421</pmid><doi>10.3390/healthcare9121695</doi><orcidid>https://orcid.org/0000-0002-7810-5721</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Artificial intelligence behavior change techniques clear aligners computerized learning Dental occlusion Oral hygiene orthodontic treatment Orthodontics Patients smart application Smartphones Teeth Telemedicine |
title | Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System |
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