{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T03:38:13Z","timestamp":1793072293900,"version":"4.5.0"},"reference-count":49,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives:<\/jats:title>\n                    <jats:p>This overview of systematic reviews aimed to establish the current state of knowledge on the suitability of artificial intelligence (AI) in dental panoramic radiograph analysis and illustrate its changes over time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Medical databases covered by the Association for Computing Machinery, Bielefeld Academic Search Engine, Google Scholar, and PubMed engines were searched. The risk of bias was assessed using ROBIS tool. Ultimately, 12 articles were qualified for the qualitative synthesis. The results were visualized with timelines, tables, and charts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>In the years 1988\u20132023, a significant development of information technologies for the analysis of DPRs was observed. The latest analyzed AI models achieve high accuracy in detecting caries (91.5%), osteoporosis (89.29%), maxillary sinusitis (87.5%), periodontal bone loss (93.09%), and teeth identification and numbering (93.67%). The detection of periapical lesions is also characterized by high sensitivity (99.95%) and specificity (92%). However, due to the small number of heterogeneous source studies synthesized in systematic reviews, the results of this overview should be interpreted with caution.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Currently, AI applications can significantly support dentists in dental panoramic radiograph analysis. As systematic reviews on AI become outdated quickly, their regular updating is recommended. PROSPERO registration number: CRD42023416048.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1259\/dmfr.20230284","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T06:10:41Z","timestamp":1693807841000},"source":"Crossref","is-referenced-by-count":71,"title":["Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews"],"prefix":"10.1093","volume":"52","author":[{"given":"Natalia","family":"Turosz","sequence":"first","affiliation":[{"name":"Institute of Public Health, Jagiellonian University Medical College , Skawi\u0144ska, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamila","family":"Ch\u0119ci\u0144ska","sequence":"additional","affiliation":[{"name":"Department of Glass Technology and Amorphous Coatings, Faculty of Materials Science and Ceramics, AGH University of Science and Technology , Mickiewicza, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maciej","family":"Ch\u0119ci\u0144ski","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery, Preventive Medicine Center , Komorowskiego, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anita","family":"Brzozowska","sequence":"additional","affiliation":[{"name":"Preventive Medicine Center , Komorowskiego, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuzanna","family":"Nowak","sequence":"additional","affiliation":[{"name":"Department of Temporomandibular Disorders, Medical University of Silesia in Katowice , Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maciej","family":"Sikora","sequence":"additional","affiliation":[{"name":"Department of Maxillofacial Surgery, Hospital of the Ministry of Interior , Wojska Polskiego, Poland"},{"name":"Department of Biochemistry and Medical Chemistr, Pomeranian Medical University , Powsta\u0144c\u00f3w Wielkopolskich, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,9,25]]},"reference":[{"key":"2024011814552615700_b1","unstructured":"SITNFlash\n          \n.\nThe History of Artificial Intelligence\n.\nScience in the News\n\u00a02017\n.\nAvailable from\n:\nhttps:\/\/sitn.hms.harvard.edu\/flash\/2017\/history-artificial-intelligence\/\n(\naccessed\n\u00a018 May 2023\n)"},{"key":"2024011814552615700_b2","article-title":"Where is the artificial intelligence applied in dentistry?","volume":"10","author":"Thurzo","year":"2022","journal-title":"Health Care (Don Mills)"},{"key":"2024011814552615700_b3","unstructured":"IBM\n          \n.\nWhat is Artificial Intelligence (AI)?\n\u00a0Available from\n:\nhttps:\/\/www.ibm.com\/topics\/artificial-intelligence\n(\naccessed\n\u00a018 May 2023\n)"},{"key":"2024011814552615700_b4","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1038\/s41591-020-01197-2","article-title":"Eight ways machine learning is assisting medicine","volume":"27","author":"May","year":"2021","journal-title":"Nat Med"},{"key":"2024011814552615700_b5","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.ajodo.2021.02.013","article-title":"Machine learning and orthodontics, current trends and the future opportunities: A Scoping review","volume":"160","author":"Mohammad-Rahimi","year":"2021","journal-title":"Am J Orthod Dentofacial Orthop"},{"key":"2024011814552615700_b6","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","article-title":"Deep learning in neural networks: an overview","volume":"61","author":"Schmidhuber","year":"2015","journal-title":"Neural Netw"},{"key":"2024011814552615700_b7","volume-title":"Emerging Trends in Oral Health Sciences and Dentistry [Internet","author":"AlmeidaGon\u00e7alves"},{"key":"2024011814552615700_b8","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s11282-020-00488-1","article-title":"Incidental findings detected with panoramic radiography: prevalence calculated on a sample of 2017 cases treated at a major Italian trauma and cancer centre","volume":"37","author":"Ghassemzadeh","year":"2021","journal-title":"Oral Radiol"},{"key":"2024011814552615700_b9","doi-asserted-by":"crossref","DOI":"10.3389\/fdmed.2023.1085251","article-title":"Artificial intelligence in dentistry\u2014A review","volume":"4","author":"Ding","year":"2023","journal-title":"Front Dent Med"},{"key":"2024011814552615700_b10","article-title":"Artificial intelligence in positioning between Mandibular third molar and inferior alveolar nerve on panoramic radiography","volume":"12","author":"Choi","year":"2022","journal-title":"Sci Rep"},{"key":"2024011814552615700_b11","doi-asserted-by":"crossref","DOI":"10.1186\/s13643-019-1252-9","article-title":"Preferred reporting items for Overviews of reviews (PRIOR): a protocol for development of a reporting guideline for Overviews of reviews of Healthcare interventions","volume":"8","author":"Pollock","year":"2019","journal-title":"Syst Rev"},{"key":"2024011814552615700_b12","article-title":"Reporting guideline for Overviews of reviews of Healthcare interventions: development of the PRIOR statement","volume":"378","author":"Gates","year":"2022","journal-title":"BMJ"},{"key":"2024011814552615700_b13","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1136\/emermed-2020-209567","article-title":"Population, intervention, comparison, outcomes and study (PICOS) design as a framework to formulate eligibility criteria in systematic reviews","volume":"37","author":"Amir-Behghadami","year":"2020","journal-title":"Emerg Med J"},{"key":"2024011814552615700_b14","unstructured":"BASE\n          \n.\nBielefeld Academic Search Engine | What is BASE?\n\u00a0Available from\n:\nhttps:\/\/www.base-search.net\/about\/en\/index.php\n(\naccessed\n\u00a04 May 2023\n)"},{"key":"2024011814552615700_b15","unstructured":"Google Scholar\n.\nAvailable from\n:\nhttps:\/\/scholar.google.com\/\n(\naccessed\n\u00a018 May 2023\n)"},{"key":"2024011814552615700_b16","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.1007\/s11192-022-04289-7","article-title":"Search where you will find most: comparing the disciplinary coverage of 56 Bibliographic databases","volume":"127","author":"Gusenbauer","year":"2022","journal-title":"Scientometrics"},{"key":"2024011814552615700_b17","unstructured":"ACM\n          \n.\nThe ACM Guide to Computing Literature\n.\nInternet\n.\nAvailable from\n:\nhttps:\/\/libraries.acm.org\/digital-library\/acm-guide-to-computing-literature\n(\naccessed\n\u00a04 May 2023\n)"},{"key":"2024011814552615700_b18","unstructured":"NCBI\n          \n.\nAbout\n.\nAvailable from\n:\nhttps:\/\/pubmed.ncbi.nlm.nih.gov\/about\/\n(\naccessed\n\u00a04 May 2023\n)"},{"key":"2024011814552615700_b19","doi-asserted-by":"crossref","DOI":"10.1186\/s13643-016-0384-4","article-title":"Rayyan\u2014a web and mobile App for systematic reviews","volume":"5","author":"Ouzzani","year":"2016","journal-title":"Syst Rev"},{"key":"2024011814552615700_b20","unstructured":"Bristol U of ROBIS tool\n.\nUniversity of Bristol\n.\nAvailable from\n:\nhttps:\/\/www.bristol.ac.uk\/population-health-sciences\/projects\/robis\/robis-tool\/\n(\naccessed\n\u00a018 May 2023\n)"},{"key":"2024011814552615700_b21","doi-asserted-by":"crossref","first-page":"104115","DOI":"10.1016\/j.jdent.2022.104115","article-title":"Deep learning for Caries detection: A systematic review","volume":"122","author":"Mohammad-Rahimi","year":"2022","journal-title":"J Dent"},{"key":"2024011814552615700_b22","article-title":"Artificial intelligence models for diagnosing Gingivitis and Periodontal disease: A systematic review","author":"Revilla-Le\u00f3n","year":"2022","journal-title":"J Prosthet Dent"},{"key":"2024011814552615700_b23","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.joen.2022.12.007","article-title":"Deep learning for detection of periapical Radiolucent lesions: A systematic review and meta-analysis of diagnostic test accuracy","volume":"49","author":"Sadr","year":"2023","journal-title":"J Endod"},{"key":"2024011814552615700_b24","doi-asserted-by":"crossref","first-page":"116968","DOI":"10.1016\/j.eswa.2022.116968","article-title":"Progress in deep learning-based dental and Maxillofacial image analysis: A systematic review","volume":"199","author":"Singh","year":"2022","journal-title":"Expert Systems with Applications"},{"key":"2024011814552615700_b25","doi-asserted-by":"crossref","DOI":"10.1259\/dmfr.20210504","article-title":"Application of deep learning in teeth identification tasks on panoramic Radiographs","volume":"51","author":"Umer","year":"2022","journal-title":"Dentomaxillofac Radiol"},{"key":"2024011814552615700_b26","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.prosdent.2021.05.008","article-title":"Artificial intelligence applications in implant dentistry: A systematic review","volume":"129","author":"Revilla-Le\u00f3n","year":"2023","journal-title":"The Journal of Prosthetic Dentistry"},{"key":"2024011814552615700_b27","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.jds.2020.06.019","article-title":"Developments, application, and performance of artificial intelligence in dentistry \u2013 A systematic review","volume":"16","author":"Khanagar","year":"2021","journal-title":"J Dent Sci"},{"key":"2024011814552615700_b28","doi-asserted-by":"crossref","DOI":"10.3390\/jcm9113579","article-title":"Dental Caries diagnosis and detection using neural networks: A systematic review","volume":"9","author":"Prados-Privado","year":"2020","journal-title":"J Clin Med"},{"key":"2024011814552615700_b29","doi-asserted-by":"crossref","first-page":"20190107","DOI":"10.1259\/dmfr.20190107","article-title":"The use and performance of artificial intelligence applications in dental and Maxillofacial Radiology: A systematic review","volume":"49","author":"Hung","year":"2020","journal-title":"Dentomaxillofacial Radiology"},{"key":"2024011814552615700_b30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5624\/isd.2019.49.1.1","article-title":"An overview of deep learning in the field of dentistry","volume":"49","author":"Hwang","year":"2019","journal-title":"Imaging Sci Dent"},{"key":"2024011814552615700_b31","article-title":"Temporomandibular joint disk Displacements in class II malocclusion and Cervical spine alterations: systematic review and report of a Hypodivergent case with MRI bone and soft tissue changes","volume":"12","author":"Alm\u0103\u0219an","year":"2022","journal-title":"Life (Basel)"},{"key":"2024011814552615700_b32","doi-asserted-by":"crossref","DOI":"10.5051\/jpis.2300160008","article-title":"Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis","author":"Chaurasia","year":"2023","journal-title":"J Periodontal Implant Sci"},{"key":"2024011814552615700_b33","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1902\/jop.1988.59.2.87","article-title":"Automated classification of Periodontal disease using Bitewing Radiographs","volume":"59","author":"Hildebolt","year":"1988","journal-title":"J Periodontol"},{"key":"2024011814552615700_b34","unstructured":"Sensitivity and Specificity of Machine learning\n.\nInternet\n.\nDeepchecks\n\u00a0Available from\n:\nhttps:\/\/deepchecks.com\/glossary\/sensitivity-and-specificity-of-machine-learning\/"},{"key":"2024011814552615700_b35","first-page":"54","article-title":"Endodontic periapical lesion: an overview on the etiology, diagnosis and current treatment modalities","volume":"5","author":"Karamifar","year":"2020","journal-title":"Eur Endod J"},{"key":"2024011814552615700_b36","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1016\/S0140-6736(05)67728-8","article-title":"Periodontal diseases","volume":"366","author":"Pihlstrom","year":"2005","journal-title":"The Lancet"},{"key":"2024011814552615700_b37","doi-asserted-by":"crossref","first-page":"7781","DOI":"10.3390\/app11177781","article-title":"Medication-related Osteonecrosis of the jaw\u2014A continuing issue","volume":"11","author":"Wr\u00f3bel","year":"2021","journal-title":"Applied Sciences"},{"key":"2024011814552615700_b38","unstructured":"Branch \u00a0NSC\n,\nOsteoporosis \u00a0O\n.\nNational Institute of Arthritis and Musculoskeletal and Skin Diseases\n.\nNIAMS\n\u00a02017\n.\nAvailable from\n:\nhttps:\/\/www.niams.nih.gov\/health-topics\/osteoporosis\n(\naccessed\n\u00a018 May 2023\n)"},{"key":"2024011814552615700_b39","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/s11282-019-00382-5","article-title":"What are the risk factors for Maxillary sinus Pathologies? A CBCT study","volume":"36","author":"Tassoker","year":"2020","journal-title":"Oral Radiol"},{"key":"2024011814552615700_b40","unstructured":"Southern California Sinus Institute\n          \n.\nThe Dangers Of Sinusitis And Sinus Infections For Untreated Patients\n.\nInternet\n.\n2021\n.\nAvailable from\n:\nhttps:\/\/www.socalsinus.com\/the-dangers-of-sinusitis-and-sinus-infections\/\n(\naccessed\n\u00a020 May 2023\n)"},{"key":"2024011814552615700_b41","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1016\/j.jdent.2015.02.009","article-title":"Radiographic Caries detection: A systematic review and meta-analysis","volume":"43","author":"Schwendicke","year":"2015","journal-title":"J Dent"},{"key":"2024011814552615700_b42","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1007\/s13191-013-0321-3","article-title":"Temporomandibular joint osteoarthritis: diagnosis and long-term conservative management: A topic review","volume":"14","author":"Kalladka","year":"2014","journal-title":"J Indian Prosthodont Soc"},{"key":"2024011814552615700_b43","article-title":"Checklist for artificial intelligence in medical imaging (CLAIM): A guide for authors and reviewers","volume":"2","author":"Mongan","year":"2020","journal-title":"Radiology: Artificial Intelligence"},{"key":"2024011814552615700_b44","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2020-047709","article-title":"Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol","volume":"11","author":"Sounderajah","year":"2021","journal-title":"BMJ Open"},{"key":"2024011814552615700_b45","unstructured":"Brownlee \u00a0J\n          \n.\nImpact of Dataset Size on Deep Learning Model Skill And Performance Estimates\n.\nMachineLearningMastery.com\n\u00a02019\n.\nAvailable from\n:\nhttps:\/\/machinelearningmastery.com\/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates\/\n(\naccessed\n\u00a022 Jun 2023\n)"},{"key":"2024011814552615700_b46","doi-asserted-by":"crossref","first-page":"63","DOI":"10.17096\/jiufd.38691","article-title":"Icdas II criteria (International Caries detection and assessment system)","volume":"49","author":"Dikmen","year":"2015","journal-title":"J Istanb Univ Fac Dent"},{"key":"2024011814552615700_b47","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2019190015","article-title":"The effect of image resolution on deep learning in radiography","volume":"2","author":"Sabottke","year":"2020","journal-title":"Radiol Artif Intell"},{"key":"2024011814552615700_b48","doi-asserted-by":"crossref","DOI":"10.1186\/s13643-017-0644-y","article-title":"Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study","volume":"6","author":"Bramer","year":"2017","journal-title":"Syst Rev"},{"key":"2024011814552615700_b49","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.jclinepi.2015.06.005","article-title":"ROBIS: A new tool to assess risk of bias in systematic reviews was developed","volume":"69","author":"Whiting","year":"2016","journal-title":"J Clin Epidemiol"}],"container-title":["Dentomaxillofacial Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/dmfr\/article-pdf\/52\/7\/20230284\/56206579\/dmfr.20230284.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/dmfr\/article-pdf\/52\/7\/20230284\/56206579\/dmfr.20230284.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T09:56:42Z","timestamp":1705571802000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/dmfr\/article\/doi\/10.1259\/dmfr.20230284\/7497205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,25]]},"references-count":49,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,10,1]]}},"URL":"https:\/\/doi.org\/10.1259\/dmfr.20230284","relation":{},"ISSN":["0250-832X","1476-542X"],"issn-type":[{"value":"0250-832X","type":"print"},{"value":"1476-542X","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,10,1]]},"published":{"date-parts":[[2023,9,25]]},"article-number":"20230284"}}