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Validity of a Mobile Application to Diagnose Temporomandibular Disorders

This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic ca...

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Autores principales: Hong, Yoo-Ree, Hwangbo, Na-Kyung, Kim, Alec-Hyung, Kim, Seong-Taek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671883/
https://www.ncbi.nlm.nih.gov/pubmed/38002805
http://dx.doi.org/10.3390/jcm12227193
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author Hong, Yoo-Ree
Hwangbo, Na-Kyung
Kim, Alec-Hyung
Kim, Seong-Taek
author_facet Hong, Yoo-Ree
Hwangbo, Na-Kyung
Kim, Alec-Hyung
Kim, Seong-Taek
author_sort Hong, Yoo-Ree
collection PubMed
description This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic categories: the initial specialist diagnoses, the final diagnoses after imaging, and the mobile app’s diagnoses. The concordance rates, sensitivities, specificities, and positive predictive values of the diagnoses were examined, with further imaging serving as the gold standard. The mobile app demonstrated a high concordance rate compared to both the final (0.93) and the initial specialists’ diagnoses (0.86). The sensitivities, specificities, and positive predictive values also indicated strong reliability, affirming the app’s diagnostic validity. Although the concordance rate was slightly lower when comparing the app’s diagnoses to the imaging results (CBCT and MRI), the specialists’ diagnoses yielded similar results. The study suggests that user-friendly diagnostic mobile applications, based on the diagnostic criteria for TMD, could enhance the clinical management of TMD. Given the reliability of mobile applications for diagnostic purposes, their wider implementation could facilitate the provision of appropriate and timely treatments for patients with TMD.
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spelling pubmed-106718832023-11-20 Validity of a Mobile Application to Diagnose Temporomandibular Disorders Hong, Yoo-Ree Hwangbo, Na-Kyung Kim, Alec-Hyung Kim, Seong-Taek J Clin Med Article This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic categories: the initial specialist diagnoses, the final diagnoses after imaging, and the mobile app’s diagnoses. The concordance rates, sensitivities, specificities, and positive predictive values of the diagnoses were examined, with further imaging serving as the gold standard. The mobile app demonstrated a high concordance rate compared to both the final (0.93) and the initial specialists’ diagnoses (0.86). The sensitivities, specificities, and positive predictive values also indicated strong reliability, affirming the app’s diagnostic validity. Although the concordance rate was slightly lower when comparing the app’s diagnoses to the imaging results (CBCT and MRI), the specialists’ diagnoses yielded similar results. The study suggests that user-friendly diagnostic mobile applications, based on the diagnostic criteria for TMD, could enhance the clinical management of TMD. Given the reliability of mobile applications for diagnostic purposes, their wider implementation could facilitate the provision of appropriate and timely treatments for patients with TMD. MDPI 2023-11-20 /pmc/articles/PMC10671883/ /pubmed/38002805 http://dx.doi.org/10.3390/jcm12227193 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Hong, Yoo-Ree
Hwangbo, Na-Kyung
Kim, Alec-Hyung
Kim, Seong-Taek
Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title_full Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title_fullStr Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title_full_unstemmed Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title_short Validity of a Mobile Application to Diagnose Temporomandibular Disorders
title_sort validity of a mobile application to diagnose temporomandibular disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671883/
https://www.ncbi.nlm.nih.gov/pubmed/38002805
http://dx.doi.org/10.3390/jcm12227193
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