{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T12:17:12Z","timestamp":1793276232289,"version":"4.5.0"},"reference-count":34,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,10,22]],"date-time":"2023-10-22T00:00:00Z","timestamp":1697932800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81970906"],"award-info":[{"award-number":["81970906"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Dental Sciences"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1016\/j.jds.2023.10.025","type":"journal-article","created":{"date-parts":[[2023,11,11]],"date-time":"2023-11-11T15:22:59Z","timestamp":1699716179000},"page":"1722-1733","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":41,"title":["Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023"],"prefix":"10.1016","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4355-0817","authenticated-orcid":false,"given":"Bo","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu-Qiang","family":"Zou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming-Jie","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue-Lian","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiu-Jie","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jds.2023.10.025_bib1","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1038\/480040a","article-title":"John McCarthy (1927-2011)","volume":"480","author":"Lifschitz","year":"2011","journal-title":"Nature"},{"key":"10.1016\/j.jds.2023.10.025_bib2","first-page":"6","article-title":"Artificial intelligence and machine learning for hemorrhagic trauma care","volume":"10","author":"Peng","year":"2023","journal-title":"Mil Med Res"},{"key":"10.1016\/j.jds.2023.10.025_bib3","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 Network."},{"key":"10.1016\/j.jds.2023.10.025_bib4","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1136\/bmj.2.5804.9","article-title":"Computer-aided diagnosis of acute abdominal pain","volume":"2","author":"de Dombal","year":"1972","journal-title":"Br Med J"},{"key":"10.1016\/j.jds.2023.10.025_bib5","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1556\/oh.2007.28225","article-title":"The beginnings of robotic surgery--from the roots up to the da Vinci telemanipulator system","volume":"148","author":"Dervaderics","year":"2007","journal-title":"Orv Hetil"},{"key":"10.1016\/j.jds.2023.10.025_bib6","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1038\/s41591-018-0107-6","article-title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","volume":"24","author":"De Fauw","year":"2018","journal-title":"Nat Med"},{"key":"10.1016\/j.jds.2023.10.025_bib7","doi-asserted-by":"crossref","first-page":"2766","DOI":"10.3390\/cancers13112766","article-title":"Automated detection and classification of oral lesions using deep learning to detect oral potentially malignant disorders","volume":"13","author":"Tanriver","year":"2021","journal-title":"Cancers"},{"key":"10.1016\/j.jds.2023.10.025_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2022.104107","article-title":"Artificial intelligence for caries and periapical periodontitis detection","volume":"122","author":"Li","year":"2022","journal-title":"J Dent"},{"key":"10.1016\/j.jds.2023.10.025_bib9","doi-asserted-by":"crossref","first-page":"2700","DOI":"10.3390\/diagnostics13162700","article-title":"A comprehensive Review of artificial intelligence based algorithms regarding temporomandibular joint related diseases","volume":"13","author":"Ozsari","year":"2023","journal-title":"Diagnostics"},{"key":"10.1016\/j.jds.2023.10.025_bib10","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.jds.2020.05.022","article-title":"Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - a systematic review","volume":"16","author":"Khanagar","year":"2021","journal-title":"J Dent Sci"},{"key":"10.1016\/j.jds.2023.10.025_bib11","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1109\/TBME.2014.2301191","article-title":"Augmented reality navigation with automatic marker-free image registration using 3-D image overlay for dental surgery","volume":"61","author":"Wang","year":"2014","journal-title":"IEEE Trans Biomed Eng"},{"key":"10.1016\/j.jds.2023.10.025_bib12","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1016\/j.dental.2021.06.001","article-title":"Robot technology in dentistry, part one of a systematic review: literature characteristics","volume":"37","author":"van Riet","year":"2021","journal-title":"Dent Mater"},{"key":"10.1016\/j.jds.2023.10.025_bib13","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1016\/j.jds.2023.02.007","article-title":"Bibliometric analysis of immunotherapy for head and neck squamous cell carcinoma","volume":"18","author":"Cai","year":"2023","journal-title":"J Dent Sci"},{"key":"10.1016\/j.jds.2023.10.025_bib14","doi-asserted-by":"crossref","first-page":"27","DOI":"10.7150\/ijbs.37496","article-title":"Publication trends of research on sepsis and host immune response during 1999-2019: a 20-year bibliometric analysis","volume":"16","author":"Yao","year":"2020","journal-title":"Int J Biol Sci"},{"key":"10.1016\/j.jds.2023.10.025_bib15","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jdent.2018.07.015","article-title":"Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm","volume":"77","author":"Lee","year":"2018","journal-title":"J Dent"},{"key":"10.1016\/j.jds.2023.10.025_bib16","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ajodo.2015.07.030","article-title":"New approach for the diagnosis of extractions with neural network machine learning","volume":"149","author":"Jung","year":"2016","journal-title":"Am J Orthod Dentofacial Orthop"},{"key":"10.1016\/j.jds.2023.10.025_bib17","first-page":"2632","article-title":"Artificial intelligence: a key to relieve China\u2019s insufficient and unequally-distributed medical resources","volume":"11","author":"Kong","year":"2019","journal-title":"Am J Transl Res"},{"key":"10.1016\/j.jds.2023.10.025_bib18","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1177\/0022034520915714","article-title":"Artificial intelligence in\u00a0dentistry: chances and challenges","volume":"99","author":"Schwendicke","year":"2020","journal-title":"J Dent Res"},{"key":"10.1016\/j.jds.2023.10.025_bib19","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1016\/j.joen.2019.03.016","article-title":"Deep learning for the radiographic detection of apical lesions","volume":"45","author":"Ekert","year":"2019","journal-title":"J Endod"},{"key":"10.1016\/j.jds.2023.10.025_bib20","doi-asserted-by":"crossref","first-page":"8495","DOI":"10.1038\/s41598-019-44839-3","article-title":"Deep learning for the radiographic detection of periodontal bone loss","volume":"9","author":"Krois","year":"2019","journal-title":"Sci Rep"},{"key":"10.1016\/j.jds.2023.10.025_bib21","doi-asserted-by":"crossref","first-page":"114","DOI":"10.5051\/jpis.2018.48.2.114","article-title":"Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm","volume":"48","author":"Lee","year":"2018","journal-title":"J Periodontal Implant Sci"},{"key":"10.1016\/j.jds.2023.10.025_bib22","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1111\/iej.13265","article-title":"Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans","volume":"53","author":"Orhan","year":"2020","journal-title":"Int Endod J"},{"key":"10.1016\/j.jds.2023.10.025_bib23","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1111\/j.1600-0501.2004.01058.x","article-title":"Navigated vs. conventional implant insertion for maxillary single tooth replacement","volume":"16","author":"Kramer","year":"2005","journal-title":"Clin Oral Implants Res"},{"key":"10.1016\/j.jds.2023.10.025_bib24","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/978-3-030-37639-0_5","article-title":"Augmented and virtual reality in anatomical education - a systematic review","volume":"1235","author":"Uruthiralingam","year":"2020","journal-title":"Adv Exp Med Biol"},{"key":"10.1016\/j.jds.2023.10.025_bib25","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1186\/s12909-022-03836-3","article-title":"Effect analysis of a virtual simulation experimental platform in teaching pulpotomy","volume":"22","author":"Lu","year":"2022","journal-title":"BMC Med Educ"},{"key":"10.1016\/j.jds.2023.10.025_bib26","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1038\/s41586-023-06221-2","article-title":"Scientific discovery in the age of artificial intelligence","volume":"620","author":"Wang","year":"2023","journal-title":"Nature"},{"key":"10.1016\/j.jds.2023.10.025_bib27","first-page":"478","article-title":"DLLNet: an attention-based deep learning method for dental landmark localization on high-resolution 3D digital dental models","volume":"12904","author":"Lang","year":"2021","journal-title":"Med Image Comput Comput Assist Interv"},{"key":"10.1016\/j.jds.2023.10.025_bib28","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.3390\/e24101358","article-title":"Automated caries screening using ensemble deep learning on panoramic radiographs","volume":"24","author":"Bui","year":"2022","journal-title":"Entropy"},{"key":"10.1016\/j.jds.2023.10.025_bib29","doi-asserted-by":"crossref","DOI":"10.1002\/adhm.202102682","article-title":"Au@Ag Nanorods-PDMS wearable mouthguard as a visualized detection platform for screening dental caries and periodontal diseases","volume":"11","author":"Ma","year":"2022","journal-title":"Adv Healthcare Mater"},{"key":"10.1016\/j.jds.2023.10.025_bib30","doi-asserted-by":"crossref","first-page":"1892","DOI":"10.1016\/j.jbiomech.2011.04.029","article-title":"An analysis of the measurement principle of smart brackets for 3D force and moment monitoring in orthodontics","volume":"44","author":"Rues","year":"2011","journal-title":"J Biomech"},{"key":"10.1016\/j.jds.2023.10.025_bib31","doi-asserted-by":"crossref","first-page":"3953","DOI":"10.3390\/s20143953","article-title":"Development of a dental implantable temperature sensor for real-Time diagnosis of infectious disease","volume":"20","author":"Kim","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.jds.2023.10.025_bib32","doi-asserted-by":"crossref","first-page":"13883","DOI":"10.1021\/acs.analchem.9b03379","article-title":"Pacifier biosensor: toward noninvasive saliva biomarker monitoring","volume":"91","author":"Garcia-Carmona","year":"2019","journal-title":"Anal Chem"},{"key":"10.1016\/j.jds.2023.10.025_bib33","doi-asserted-by":"crossref","first-page":"1862","DOI":"10.1111\/odi.13704","article-title":"Oral potentially malignant disorders: a consensus report from an international seminar on nomenclature and classification, convened by the WHO Collaborating Centre for Oral Cancer","volume":"27","author":"Warnakulasuriya","year":"2021","journal-title":"Oral Dis"},{"key":"10.1016\/j.jds.2023.10.025_bib34","doi-asserted-by":"crossref","first-page":"725","DOI":"10.3390\/jpm13050725","article-title":"Precision medicine in oral health and diseases: a systematic review","volume":"13","author":"Malcangi","year":"2023","journal-title":"J Personalized Med"}],"container-title":["Journal of Dental Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1991790223003604?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1991790223003604?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T08:21:02Z","timestamp":1723191662000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1991790223003604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":34,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["S1991790223003604"],"URL":"https:\/\/doi.org\/10.1016\/j.jds.2023.10.025","relation":{},"ISSN":["1991-7902"],"issn-type":[{"value":"1991-7902","type":"print"}],"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023","name":"articletitle","label":"Article Title"},{"value":"Journal of Dental Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jds.2023.10.025","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Association for Dental Sciences of the Republic of China. Publishing services by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}