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Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence

Periodontal diseases are prevalent and have significant implications for oral health and overall well‐being. Current diagnostic methods have limitations in accuracy and standardization. The recent Food and Drug Administration approval of Videa Perio Assist (VPA), an AI model for diagnosing periodont...

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Autores principales: Khan, Ayesha, Khan, Khadija J., Ghaza, Mehreen A., Dave, Tirth, Shahnoor, Syeda, Khan, Abdul M., Oduoye, Malik O., Nafula, Wechuli P., Ubechu, Samuel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507281/
https://www.ncbi.nlm.nih.gov/pubmed/37732105
http://dx.doi.org/10.1002/hsr2.1573
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author Khan, Ayesha
Khan, Khadija J.
Ghaza, Mehreen A.
Dave, Tirth
Shahnoor, Syeda
Khan, Abdul M.
Oduoye, Malik O.
Nafula, Wechuli P.
Ubechu, Samuel C.
author_facet Khan, Ayesha
Khan, Khadija J.
Ghaza, Mehreen A.
Dave, Tirth
Shahnoor, Syeda
Khan, Abdul M.
Oduoye, Malik O.
Nafula, Wechuli P.
Ubechu, Samuel C.
author_sort Khan, Ayesha
collection PubMed
description Periodontal diseases are prevalent and have significant implications for oral health and overall well‐being. Current diagnostic methods have limitations in accuracy and standardization. The recent Food and Drug Administration approval of Videa Perio Assist (VPA), an AI model for diagnosing periodontal diseases, presents a breakthrough in dental diagnostics. VPA is a cloud‐based, AI‐powered software that automatically measures and visualizes bone levels associated with each tooth from radiographic images. Clinical testing has demonstrated VPA's efficacy in accurately diagnosing periodontal diseases with high sensitivity and specificity. The integration of AI in dentistry has the potential to revolutionize periodontal disease diagnosis, improve patient care, and enhance decision‐making. However, further research, education, cost‐effectiveness, and collaboration are essential for maximizing the benefits of AI in dental settings. The approval and implementation of VPA mark a significant advancement in dental diagnostics, paving the way for more effective solutions and a healthier global population.
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spelling pubmed-105072812023-09-20 Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence Khan, Ayesha Khan, Khadija J. Ghaza, Mehreen A. Dave, Tirth Shahnoor, Syeda Khan, Abdul M. Oduoye, Malik O. Nafula, Wechuli P. Ubechu, Samuel C. Health Sci Rep Correspondence Periodontal diseases are prevalent and have significant implications for oral health and overall well‐being. Current diagnostic methods have limitations in accuracy and standardization. The recent Food and Drug Administration approval of Videa Perio Assist (VPA), an AI model for diagnosing periodontal diseases, presents a breakthrough in dental diagnostics. VPA is a cloud‐based, AI‐powered software that automatically measures and visualizes bone levels associated with each tooth from radiographic images. Clinical testing has demonstrated VPA's efficacy in accurately diagnosing periodontal diseases with high sensitivity and specificity. The integration of AI in dentistry has the potential to revolutionize periodontal disease diagnosis, improve patient care, and enhance decision‐making. However, further research, education, cost‐effectiveness, and collaboration are essential for maximizing the benefits of AI in dental settings. The approval and implementation of VPA mark a significant advancement in dental diagnostics, paving the way for more effective solutions and a healthier global population. John Wiley and Sons Inc. 2023-09-18 /pmc/articles/PMC10507281/ /pubmed/37732105 http://dx.doi.org/10.1002/hsr2.1573 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Correspondence
Khan, Ayesha
Khan, Khadija J.
Ghaza, Mehreen A.
Dave, Tirth
Shahnoor, Syeda
Khan, Abdul M.
Oduoye, Malik O.
Nafula, Wechuli P.
Ubechu, Samuel C.
Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title_full Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title_fullStr Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title_full_unstemmed Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title_short Celebrating breakthrough in dental diagnostics: FDA approval of an AI model for diagnosis of periodontal diseases: A correspondence
title_sort celebrating breakthrough in dental diagnostics: fda approval of an ai model for diagnosis of periodontal diseases: a correspondence
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507281/
https://www.ncbi.nlm.nih.gov/pubmed/37732105
http://dx.doi.org/10.1002/hsr2.1573
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