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.

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. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 19:3(2022). [10.3390/ijerph19031728]

Artificial Intelligence: a new diagnostic software in dentistry: a preliminary performance diagnostic study

De Angelis, Francesca
Primo
;
Pranno, Nicola
Secondo
;
Di Carlo, Stefano;Brauner, Edoardo;Stefanelli, Luigi Vito
Ultimo
2022

Abstract

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.
2022
accuracy; artificial intelligence; dental radiology; digital dentistry; machine learning; humans; Italy; radiography, panoramic; software; artificial intelligence; tooth
01 Pubblicazione su rivista::01a Articolo in rivista
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. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 19:3(2022). [10.3390/ijerph19031728]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1659750
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