{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:39:22Z","timestamp":1777901962084,"version":"3.51.4"},"reference-count":43,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Science Progress"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The purpose of the present study was to verify the diagnostic performance of an AI system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This is a cross-sectional study. A dataset comprising 1000 panoramic radiographs collected from 500 adult patients was analyzed by an AI system and compared with annotations provided by two oral and maxillofacial radiologists.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A strong correlation (R\u2009&gt;\u20090.5) was observed between AI perception and observers 1 and 2 in carious teeth (0.691\u20130.878), implants (0.770\u20130.952), restored teeth (0.773\u20130.834), teeth with fixed prostheses (0.972\u20130.980), and missing teeth (0.956\u20130.988).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Panoramic radiographs are commonly used for diagnosis and treatment planning. However, they often suffer from artifacts, distortions, and superimpositions, leading to potential misinterpretations. Thus, an automated detection system is required to tackle these challenges. Artificial intelligence (AI) has revolutionized various fields, including dentistry, by enabling the development of intelligent systems that can assist in complex tasks such as diagnosis and treatment planning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The automatic detection by the AI system was comparable to oral radiologists and may be useful for automatic identifications in panoramic radiographs. These findings signify the potential for AI systems to enhance diagnostic accuracy and efficiency in dental practices, potentially reducing the likelihood of diagnostic errors caused by unexperienced professionals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00368504241286659","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T14:17:11Z","timestamp":1729174631000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Automatic feature segmentation in dental panoramic radiographs"],"prefix":"10.1177","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9115-7235","authenticated-orcid":false,"given":"Rohan","family":"Jagtap","sequence":"first","affiliation":[{"name":"Division of Oral & Maxillofacial Radiology, Department of Care Planning & Restorative Sciences, University of Mississippi Medical Center School of Dentistry, Jackson, MS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1603-2253","authenticated-orcid":false,"given":"Yalamanchili","family":"Samata","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, SIBAR Institute of Dental Sciences, Guntur, AP, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amisha","family":"Parekh","sequence":"additional","affiliation":[{"name":"Department of Biomedical Materials Science, School of Dentistry, University of Mississippi Medical Center, Jackson, MS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Tretto","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery, Regional Integrated University of Alto Uruguai and Missions, Erechim, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamara","family":"Vujanovic","sequence":"additional","affiliation":[{"name":"Southeast A Regional Representative, American Association for Dental, Oral and Craniofacial Research National Student Research Group President, Local Chapter of Student Research Group. Dental Student, UMMC School of Dentistry Class of 2025, University of Mississippi Medical Center, Jackson, MS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Purnachandrarao","family":"Naik","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, SIBAR Institute of Dental Sciences, Guntur, AP, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Griggs","sequence":"additional","affiliation":[{"name":"Department of Biomedical Materials Science, School of Dentistry, University of Mississippi Medical Center, Jackson, MS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan","family":"Friedel","sequence":"additional","affiliation":[{"name":"VELMENI Inc., Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maxine","family":"Feinberg","sequence":"additional","affiliation":[{"name":"VELMENI Inc., Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prashant","family":"Jaju","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Rishiraj College of Dental Sciences & Research Centre, Bhopal, MP, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael D.","family":"Roach","sequence":"additional","affiliation":[{"name":"Department of Biomedical Materials Science, School of Dentistry, University of Mississippi Medical Center, Jackson, MS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mini","family":"Suri","sequence":"additional","affiliation":[{"name":"VELMENI Inc., Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michelle Briner","family":"Garrido","sequence":"additional","affiliation":[{"name":"Department of Oral Pathology, Radiology and Medicine, Kansas City School of Dentistry, University of Missouri, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,10,17]]},"reference":[{"key":"bibr1-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2021.100179"},{"key":"bibr2-00368504241286659","unstructured":"Hashimoto DA, Rosman G, Rus D, et al. Artificial Intelligence in Surgery: Promises and Perils. (1528-1140 (Electronic))."},{"key":"bibr3-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.10.134"},{"key":"bibr4-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1109\/DeSE51703.2020.9450245"},{"key":"bibr5-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0195-0"},{"key":"bibr6-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2013.105"},{"key":"bibr7-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-50567-5"},{"key":"bibr8-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-0238-2"},{"key":"bibr9-00368504241286659","unstructured":"McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. (1476-4687 (Electronic))."},{"key":"bibr10-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.91.045002"},{"key":"bibr11-00368504241286659","unstructured":"Nguyen Tt Fau - Larriv\u00e9e N, Larriv\u00e9e N Fau - Lee A, Lee A Fau - Bilaniuk O, Bilaniuk O Fau - Durand R, Durand R\n                      . Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances. (1488-2159 (Electronic))."},{"key":"bibr12-00368504241286659","unstructured":"Schwendicke F, Samek WA-O, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. (1544-0591 (Electronic))."},{"key":"bibr13-00368504241286659","unstructured":"Ghods K, Azizi A, Jafari A, et al. Application of Artificial Intelligence in Clinical Dentistry, a Comprehensive Review of literature. 2023."},{"key":"bibr14-00368504241286659","unstructured":"Ahmed NA-O, Abbasi MA-O, Zuberi FA-O, et al. Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review. (2314-6141 (Electronic))."},{"key":"bibr15-00368504241286659","unstructured":"Ba\u015faran MA-O, \u00c7elik \u00d6 A-O, Bayrakdar IA-O, et al. Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system. (1613-9674 (Electronic))."},{"key":"bibr16-00368504241286659","first-page":"27","volume":"7","author":"Bindushree V","year":"2020","journal-title":"Journal of Dental Research and Review"},{"key":"bibr17-00368504241286659","doi-asserted-by":"crossref","unstructured":"Ossowska A, Kusiak AA-O, \u015awietlik DA-O. Artificial Intelligence in Dentistry-Narrative Review. LID - 10.3390\/ijerph19063449 [doi] LID - 3449. (1660-4601 (Electronic)).","DOI":"10.3390\/ijerph19063449"},{"key":"bibr18-00368504241286659","doi-asserted-by":"crossref","unstructured":"Fatima A, Shafi I, Afzal HA-O, et al. Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. LID - 10.3390\/healthcare10112188 [doi] LID - 2188. (2227-9032 (Print)).","DOI":"10.3390\/healthcare10112188"},{"key":"bibr19-00368504241286659","unstructured":"Gan F, Liu H, Qin WG, et al. Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation. (1662-4548 (Print))."},{"key":"bibr20-00368504241286659","doi-asserted-by":"crossref","unstructured":"Hung KA-O, Ai QA-O, Wong LA-O, et al. Current Applications of Deep Learning and Radiomics on CT and CBCT for Maxillofacial Diseases. LID - 10.3390\/diagnostics13010110 [doi] LID - 110. (2075-4418 (Print)).","DOI":"10.3390\/diagnostics13010110"},{"key":"bibr21-00368504241286659","volume-title":"Oral Radiology: Principles And Interpretation","author":"White SC","year":"2009","edition":"6"},{"key":"bibr22-00368504241286659","doi-asserted-by":"publisher","DOI":"10.3389\/fdmed.2023.1085251"},{"key":"bibr23-00368504241286659","unstructured":"Perschbacher S. Interpretation of panoramic radiographs. (1834-7819 (Electronic))."},{"key":"bibr24-00368504241286659","unstructured":"Agrawal P, Nikhade P. Artificial Intelligence in Dentistry: Past, Present, and Future. (2168-8184 (Print))."},{"key":"bibr25-00368504241286659","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12123081"},{"key":"bibr26-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90386-1"},{"key":"bibr27-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2022.104301"},{"key":"bibr28-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2021.103864"},{"key":"bibr29-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr.20180051"},{"key":"bibr30-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1007\/s11282-023-00689-4"},{"key":"bibr31-00368504241286659","doi-asserted-by":"publisher","DOI":"10.11607\/jomi.8684"},{"key":"bibr32-00368504241286659","doi-asserted-by":"publisher","DOI":"10.5624\/isd.20210287"},{"key":"bibr33-00368504241286659","doi-asserted-by":"publisher","DOI":"10.3390\/biom11060815"},{"key":"bibr34-00368504241286659","doi-asserted-by":"publisher","DOI":"10.11607\/jomi.8060"},{"key":"bibr35-00368504241286659","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics10110910"},{"key":"bibr36-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1111\/jerd.13079"},{"key":"bibr37-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2022.104115"},{"key":"bibr38-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1007\/s00784-023-05335-1"},{"key":"bibr39-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2022.104107"},{"key":"bibr40-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2021.103849"},{"key":"bibr41-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22803"},{"key":"bibr42-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1080\/20961790.2022.2034714"},{"key":"bibr43-00368504241286659","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-023-03027-6"}],"container-title":["Science Progress"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/00368504241286659","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/00368504241286659","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/00368504241286659","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:13:37Z","timestamp":1777634017000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/00368504241286659"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":43,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["10.1177\/00368504241286659"],"URL":"https:\/\/doi.org\/10.1177\/00368504241286659","relation":{},"ISSN":["0036-8504","2047-7163"],"issn-type":[{"value":"0036-8504","type":"print"},{"value":"2047-7163","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]},"article-number":"00368504241286659"}}