Evidence map›Paper›PMID 41930378›Full record

ArticleOrthodontics & craniofacial research2026

Evaluating the Artificial Intelligence Driven Monitoring System Notifications: Clear Aligner and Oral Hygiene Perspectives.

Analia Tahir, Budi Kusnoto, Phimon Atsawasuwan, Grace Viana, Veerasathpurush Allareddy, Tolga F Tozum, Mohammed H Elnagar

Abstract read
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Article in Orthodontics & craniofacial research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Analia TahirDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
Budi KusnotoDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5449-4155
Phimon AtsawasuwanDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
Grace VianaDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
Veerasathpurush AllareddyDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-8199-6206
Tolga F TozumDepartment of Periodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
Mohammed H ElnagarDepartment of Orthodontics, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-2332-9250

Funding

American Association of Orthodontists Foundation
6 · The paper itself

Abstract

introductionThe widespread use of smartphones presents a remarkable opportunity for real-time management of orthodontic treatment. The development of orthodontic smartphone applications, such as Dental Monitoring (DM), epitomises the use of Artificial Intelligence Driven Remote Monitoring (AIDRM) for sophisticated image analysis. The primary aim of this study is to evaluate the validity of DM's AI image analysis notification software in detecting unfavorable clinical conditions regarding clear aligner and oral hygiene concerns.

methodsTwenty-three patients undergoing clear aligner treatment with the implementation of DM were recruited for this study. To assess the validity of DM's AI image analysis software in detecting unfavourable clinical conditions, all notifications were compared to the 'gold standard' orthodontist visual exam of uploaded DM scans. A range of 533-1425 observations were assessed for identifying generalised and localised detection of clinical conditions regarding clear aligner and oral hygiene parameters. Then, the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

resultsDental Monitoring AI image analysis software demonstrated a higher accuracy for generalised detection of clear aligner and oral hygiene parameters, while a lower accuracy was demonstrated for localised detection of stated parameters.

conclusionsDental monitoring is a viable option for clinical use in remotely monitoring clear aligner and oral hygiene parameters during clear aligner orthodontic treatment. However, the clinician should remain aware that the AI notification software has trouble identifying specific areas of clinical issues, and therefore, the monitoring is not fully automated and must be closely followed by the overseeing orthodontist.

Indexed as

Artificial IntelligenceImage Processing, Computer-AssistedOral HygieneSmartphoneFemaleHumansRemote Patient MonitoringSensitivity and SpecificitySoftwareartificial intelligenceclear alignerdental monitoringoral hygiene

Identifiers

PMID41930378
PMCPMC13485181

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.