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Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study
Background: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical errors. Methods: In the present study, 120 panoramic X-...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835112/ https://www.ncbi.nlm.nih.gov/pubmed/35162751 http://dx.doi.org/10.3390/ijerph19031728 |
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author | De Angelis, Francesca Pranno, Nicola Franchina, Alessio Di Carlo, Stefano Brauner, Edoardo Ferri, Agnese Pellegrino, Gerardo Grecchi, Emma Goker, Funda Stefanelli, Luigi Vito |
author_facet | De Angelis, Francesca Pranno, Nicola Franchina, Alessio Di Carlo, Stefano Brauner, Edoardo Ferri, Agnese Pellegrino, Gerardo Grecchi, Emma Goker, Funda Stefanelli, Luigi Vito |
author_sort | De Angelis, Francesca |
collection | PubMed |
description | Background: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical errors. Methods: In the present study, 120 panoramic X-rays (OPGs) were randomly selected from the Department of Oral and Maxillofacial Sciences of Sapienza University of Rome, Italy. The OPGs were acquired and analyzed using Apox, which takes a panoramic X-rayand automatically returns the dental formula, the presence of dental implants, prosthetic crowns, fillings and root remnants. A descriptive analysis was performed presenting the categorical variables as absolute and relative frequencies. Results: In total, the number of true positive (TP) values was 2.195 (19.06%); true negative (TN), 8.908 (77.34%); false positive (FP), 132 (1.15%); and false negative (FN), 283 (2.46%). The overall sensitivity was 0.89, while the overall specificity was 0.98. Conclusions: The present study shows the latest achievements in dentistry, analyzing the application and credibility of a new diagnostic method to improve the work of dentists and the patients’ care. |
format | Online Article Text |
id | pubmed-8835112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88351122022-02-12 Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study De Angelis, Francesca Pranno, Nicola Franchina, Alessio Di Carlo, Stefano Brauner, Edoardo Ferri, Agnese Pellegrino, Gerardo Grecchi, Emma Goker, Funda Stefanelli, Luigi Vito Int J Environ Res Public Health Article Background: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical errors. Methods: In the present study, 120 panoramic X-rays (OPGs) were randomly selected from the Department of Oral and Maxillofacial Sciences of Sapienza University of Rome, Italy. The OPGs were acquired and analyzed using Apox, which takes a panoramic X-rayand automatically returns the dental formula, the presence of dental implants, prosthetic crowns, fillings and root remnants. A descriptive analysis was performed presenting the categorical variables as absolute and relative frequencies. Results: In total, the number of true positive (TP) values was 2.195 (19.06%); true negative (TN), 8.908 (77.34%); false positive (FP), 132 (1.15%); and false negative (FN), 283 (2.46%). The overall sensitivity was 0.89, while the overall specificity was 0.98. Conclusions: The present study shows the latest achievements in dentistry, analyzing the application and credibility of a new diagnostic method to improve the work of dentists and the patients’ care. MDPI 2022-02-02 /pmc/articles/PMC8835112/ /pubmed/35162751 http://dx.doi.org/10.3390/ijerph19031728 Text en © 2022 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 De Angelis, Francesca Pranno, Nicola Franchina, Alessio Di Carlo, Stefano Brauner, Edoardo Ferri, Agnese Pellegrino, Gerardo Grecchi, Emma Goker, Funda Stefanelli, Luigi Vito Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title | Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title_full | Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title_fullStr | Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title_full_unstemmed | Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title_short | Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study |
title_sort | artificial intelligence: a new diagnostic software in dentistry: a preliminary performance diagnostic study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835112/ https://www.ncbi.nlm.nih.gov/pubmed/35162751 http://dx.doi.org/10.3390/ijerph19031728 |
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