{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:03:53Z","timestamp":1782983033658,"version":"3.54.5"},"reference-count":30,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T00:00:00Z","timestamp":1643760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>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\u2019 care.<\/jats:p>","DOI":"10.3390\/ijerph19031728","type":"journal-article","created":{"date-parts":[[2022,2,3]],"date-time":"2022-02-03T05:42:33Z","timestamp":1643866953000},"page":"1728","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7922-8870","authenticated-orcid":false,"given":"Francesca","family":"De Angelis","sequence":"first","affiliation":[{"name":"Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4095-0900","authenticated-orcid":false,"given":"Nicola","family":"Pranno","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7679-6776","authenticated-orcid":false,"given":"Alessio","family":"Franchina","sequence":"additional","affiliation":[{"name":"Private Practice, Via Legione Gallieno 44, 36100 Vicenza, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Di Carlo","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7654-482X","authenticated-orcid":false,"given":"Edoardo","family":"Brauner","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7281-1684","authenticated-orcid":false,"given":"Agnese","family":"Ferri","sequence":"additional","affiliation":[{"name":"Oraland Maxillofacial Surgery Division, DIBINEM, University of Bologna, 40125 Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8782-8991","authenticated-orcid":false,"given":"Gerardo","family":"Pellegrino","sequence":"additional","affiliation":[{"name":"Oraland Maxillofacial Surgery Division, DIBINEM, University of Bologna, 40125 Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3417-5488","authenticated-orcid":false,"given":"Emma","family":"Grecchi","sequence":"additional","affiliation":[{"name":"Chirurgiche ed Odontoiatriatriche, Dipartimento di Scienze Biomediche, University of Milan, Via Della Commenda 9, 20122 Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2354-361X","authenticated-orcid":false,"given":"Funda","family":"Goker","sequence":"additional","affiliation":[{"name":"Chirurgiche ed Odontoiatriatriche, Dipartimento di Scienze Biomediche, University of Milan, Via Della Commenda 9, 20122 Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luigi","family":"Stefanelli","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"375","DOI":"10.17219\/acem\/115083","article-title":"The ways of using machine learning in dentistry","volume":"29","author":"Machoy","year":"2020","journal-title":"Adv. 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