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Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study
- Source :
- International Journal of Environmental Research and Public Health, Vol 19, Iss 1728, p 1728 (2022), International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1728
- Publication Year :
- 2022
- Publisher :
- MDPI AG, 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.
- Subjects :
- artificial intelligence
machine learning
digital dentistry
dental radiology
accuracy
Health, Toxicology and Mutagenesis
Public Health, Environmental and Occupational Health
Italy
Settore MED/28 - Malattie Odontostomatologiche
humans
radiography, panoramic
software
tooth
Radiography, Panoramic
Humans
Medicine
panoramic
Tooth
radiography
Software
Subjects
Details
- Language :
- English
- ISSN :
- 16617827 and 16604601
- Volume :
- 19
- Issue :
- 1728
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health
- Accession number :
- edsair.doi.dedup.....8c394945089e204894a498d2fc49ba95