{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T03:56:05Z","timestamp":1793159765987,"version":"4.5.0"},"reference-count":65,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.jp","theclinics.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Dental Clinics of North America"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1016\/j.cden.2025.05.010","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T14:44:47Z","timestamp":1754405087000},"page":"479-495","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["Increasing Diagnostic Acumen in Endodontics"],"prefix":"10.1016","volume":"69","author":[{"given":"Shilpa","family":"Thakkar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dana","family":"Mominkhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/S0020-7373(78)80049-2","article-title":"MYCIN: a knowledge-based consultation program for infectious disease diagnosis","volume":"10","author":"Van Melle","year":"1978","journal-title":"Int J Man Mach Stud"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib2","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/0030-4220(93)90277-B","article-title":"Diagnosis of selected pulpal pathoses using an expert computer system","volume":"76","author":"Firriolo","year":"1993","journal-title":"Oral Surg Oral Med Oral Pathol"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib3","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/S0300-5712(97)00027-4","article-title":"Neural networks: a new technique for development of decision support systems in dentistry","volume":"26","author":"Brickley","year":"1998","journal-title":"J Dent"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib4","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1002\/j.0022-0337.1996.60.1.tb03011.x","article-title":"Decision-support systems in dentistry","volume":"60","author":"White","year":"1996","journal-title":"J Dent Educ"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib5","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1007\/s10916-010-9604-y","article-title":"Application of Bayesian classifier for the diagnosis of dental pain","volume":"36","author":"Chattopadhyay","year":"2012","journal-title":"J Med Syst"},{"issue":"5","key":"10.1016\/j.cden.2025.05.010_bib6","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1016\/j.joen.2018.01.021","article-title":"Diagnostic accuracy of 5 dental pulp tests: a systematic review and meta-analysis","volume":"44","author":"Mainkar","year":"2018","journal-title":"J Endod"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib7","doi-asserted-by":"crossref","DOI":"10.5395\/rde.2021.46.e43","article-title":"Which factors related to apical radiolucency may influence its radiographic detection? A study using CBCT as reference standard","volume":"46","author":"Fontenele","year":"2021","journal-title":"Restor Dent Endod"},{"issue":"12","key":"10.1016\/j.cden.2025.05.010_bib8","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/j.joen.2024.09.008","article-title":"PAINe: an artificial intelligence-based virtual assistant to aid in the differentiation of pain of odontogenic versus temporomandibular origin","volume":"50","author":"de Araujo","year":"2024","journal-title":"J Endod"},{"issue":"10","key":"10.1016\/j.cden.2025.05.010_bib9","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.14219\/jada.archive.2011.0088","article-title":"Development of a brief and effective temporomandibular disorder pain screening questionnaire: reliability and validity","volume":"142","author":"Gonzalez","year":"2011","journal-title":"J Am Dent Assoc"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib10","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.joen.2015.12.015","article-title":"Diagnostic accuracy of cone-beam computed tomography and conventional radiography on apical periodontitis: a systematic review and meta-analysis","volume":"42","author":"Leonardi Dutra","year":"2016","journal-title":"J Endod"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib11","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/0030-4220(72)90473-2","article-title":"Endodontic success--who\u2019s reading the radiograph?","volume":"33","author":"Goldman","year":"1972","journal-title":"Oral Surg Oral Med Oral Pathol"},{"issue":"21","key":"10.1016\/j.cden.2025.05.010_bib12","doi-asserted-by":"crossref","DOI":"10.3390\/s21217049","article-title":"Detection of dental apical lesions using CNNs on periapical radiograph","volume":"21","author":"Li","year":"2021","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.cden.2025.05.010_bib13","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.cden.2025.05.010_bib14","series-title":"Automatic lesion detection in periapical X-rays","first-page":"1","author":"Sajad","year":"2019"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib15","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1007\/s00784-021-04043-y","article-title":"Deep learning for categorization of endodontic lesion based on radiographic periapical index scoring system","volume":"26","author":"Moidu","year":"2022","journal-title":"Clin Oral Invest"},{"key":"10.1016\/j.cden.2025.05.010_bib16","doi-asserted-by":"crossref","first-page":"189","DOI":"10.5005\/jp-journals-10015-1820","article-title":"Periapical lesion diagnosis support system based on x-ray images using machine learning technique","volume":"12","author":"Ngoc","year":"2021","journal-title":"World J Dent"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib17","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1007\/s11548-021-02319-y","article-title":"Dental disease detection on periapical radiographs based on deep convolutional neural networks","volume":"16","author":"Chen","year":"2021","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"5","key":"10.1016\/j.cden.2025.05.010_bib18","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1016\/j.joen.2016.12.021","article-title":"A survey of cone-beam computed tomographic use among endodontic practitioners in the United States","volume":"43","author":"Setzer","year":"2017","journal-title":"J Endod"},{"issue":"7","key":"10.1016\/j.cden.2025.05.010_bib19","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1016\/j.joen.2014.03.002","article-title":"Comparison of endodontic diagnosis and treatment planning decisions using cone-beam volumetric tomography versus periapical radiography","volume":"40","author":"Ee","year":"2014","journal-title":"J Endod"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib20","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/iej.13020","article-title":"Diagnostic accuracy of cone beam computed tomography used for assessment of apical periodontitis: an ex vivo histopathological study on human cadavers","volume":"52","author":"Kruse","year":"2019","journal-title":"Int Endod J"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib21","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.joen.2016.10.007","article-title":"Cone-beam computed tomography uses in clinical endodontics: observer variability in detecting periapical lesions","volume":"43","author":"Parker","year":"2017","journal-title":"J Endod"},{"issue":"12","key":"10.1016\/j.cden.2025.05.010_bib22","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1016\/j.joen.2016.06.007","article-title":"Understanding external cervical resorption in vital teeth","volume":"42","author":"Mavridou","year":"2016","journal-title":"J Endod"},{"issue":"12","key":"10.1016\/j.cden.2025.05.010_bib23","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1111\/iej.12744","article-title":"Understanding external cervical resorption patterns in endodontically treated teeth","volume":"50","author":"Mavridou","year":"2017","journal-title":"Int Endod J"},{"issue":"11","key":"10.1016\/j.cden.2025.05.010_bib24","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1111\/iej.12942","article-title":"External cervical resorption-part 1: histopathology, distribution and presentation","volume":"51","author":"Patel","year":"2018","journal-title":"Int Endod J"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib25","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.joen.2022.10.010","article-title":"External cervical resorption: a volumetric analysis on evolution of defects over time","volume":"49","author":"Nosrat","year":"2023","journal-title":"J Endod"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib26","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.joen.2016.09.008","article-title":"External cervical resorption: a comparison of the diagnostic efficacy using 2 different cone-beam computed tomographic units and periapical radiographs","volume":"43","author":"Vaz de Souza","year":"2017","journal-title":"J Endod"},{"issue":"11","key":"10.1016\/j.cden.2025.05.010_bib27","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1111\/iej.12946","article-title":"External cervical resorption: part 2 - management","volume":"51","author":"Patel","year":"2018","journal-title":"Int Endod J"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib28","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1111\/iej.13680","article-title":"A clinical approach strategy for the diagnosis, treatment and evaluation of external cervical resorption","volume":"55","author":"Mavridou","year":"2022","journal-title":"Int Endod J"},{"issue":"10","key":"10.1016\/j.cden.2025.05.010_bib29","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1016\/j.joen.2022.07.002","article-title":"Was the coronavirus disease 2019 pandemic associated with an increased rate of cracked teeth?","volume":"48","author":"Nosrat","year":"2022","journal-title":"J Endod"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib30","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.joen.2023.11.004","article-title":"Artificial intelligence for detection of external cervical resorption using label-efficient self-supervised learning method","volume":"50","author":"Mohammad-Rahimi","year":"2024","journal-title":"J Endod"},{"issue":"5","key":"10.1016\/j.cden.2025.05.010_bib31","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.joen.2019.02.003","article-title":"Incidence of pulpal complications after diagnosis of vital cracked teeth","volume":"45","author":"Wu","year":"2019","journal-title":"J Endod"},{"issue":"6","key":"10.1016\/j.cden.2025.05.010_bib32","first-page":"409","article-title":"Diagnosis, therapy, and prevention of the cracked tooth syndrome","volume":"34","author":"Geurtsen","year":"2003","journal-title":"Quintessence Int"},{"key":"10.1016\/j.cden.2025.05.010_bib33","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1016\/j.joen.2007.08.015","article-title":"A six year evaluation of cracked teeth diagnosed with reversible pulpitis: treatment and prognosis","volume":"33","author":"Krell","year":"2008","journal-title":"J Endod"},{"key":"10.1016\/j.cden.2025.05.010_bib34","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.jdent.2017.12.014","article-title":"Associations of types of pain with crack-level, tooth-level and patient-level characteristics in posterior teeth with visible cracks: findings from the National Dental Practice-Based Research Network","volume":"70","author":"Hilton","year":"2018","journal-title":"J Dent"},{"issue":"Suppl 2","key":"10.1016\/j.cden.2025.05.010_bib35","doi-asserted-by":"crossref","first-page":"S242","DOI":"10.4103\/0975-7406.100219","article-title":"Diagnosis of cracked tooth syndrome","volume":"4","author":"Mathew","year":"2012","journal-title":"J Pharm BioAllied Sci"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib36","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1111\/j.1834-7819.2009.01155.x","article-title":"Predictable management of cracked teeth with reversible pulpitis","volume":"54","author":"Abbott","year":"2009","journal-title":"Aust Dent J"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib37","first-page":"437","article-title":"Crack lines: the precursors of tooth fractures - their diagnosis and treatment","volume":"14","author":"Abou-Rass","year":"1983","journal-title":"Quintessence Int Dent Dig"},{"key":"10.1016\/j.cden.2025.05.010_bib38","article-title":"Automatic quantification framework to detect cracks in teeth","author":"Shah","year":"2018","journal-title":"Proc SPIE Int Soc Opt Eng"},{"key":"10.1016\/j.cden.2025.05.010_bib39","article-title":"Dental microfracture detection using wavelet features and machine learning","author":"Vicory","year":"2021","journal-title":"Proc SPIE Int Soc Opt Eng"},{"key":"10.1016\/j.cden.2025.05.010_bib40","first-page":"150","article-title":"Wavelet guided 3d deep model to improve dental microfracture detection","volume":"13540","author":"Sahu","year":"2022","journal-title":"Appl Med Artif Intell (2022)"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib41","doi-asserted-by":"crossref","first-page":"14","DOI":"10.61872\/sdj-2017-01-233","article-title":"Vertical root fractures of endodontically treated posterior teeth: a histologic analysis with clinical and radiographic correlates","volume":"127","author":"von Arx","year":"2017","journal-title":"Swiss Dent J"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib42","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.joen.2014.09.017","article-title":"Comparison of fracture sites and post lengths in longitudinal root fractures","volume":"41","author":"Sugaya","year":"2015","journal-title":"J Endod"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib43","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.tripleo.2007.09.007","article-title":"Comparison of digital with conventional radiography in detection of vertical root fractures in endodontically treated maxillary premolars: an ex vivo study","volume":"106","author":"Tsesis","year":"2008","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol Endod"},{"issue":"8","key":"10.1016\/j.cden.2025.05.010_bib44","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.joen.2020.04.015","article-title":"Accuracy of high-resolution small-volume cone-beam computed tomography in the diagnosis of vertical root fracture: an In vivo analysis","volume":"46","author":"Dias","year":"2020","journal-title":"J Endod"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib45","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1111\/j.1600-9657.2012.01148.x","article-title":"Performance of an artificial neural network for vertical root fracture detection: an ex vivo study","volume":"29","author":"Kositbowornchai","year":"2013","journal-title":"Dent Traumatol"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib46","doi-asserted-by":"crossref","DOI":"10.1259\/dmfr.20160107","article-title":"Detection of vertical root fractures in intact and endodontically treated premolar teeth by designing a probabilistic neural network: an ex vivo study","volume":"46","author":"Johari","year":"2017","journal-title":"Dentomaxillofacial Radiol"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib47","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1186\/s12903-022-02422-9","article-title":"Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images","volume":"22","author":"Hu","year":"2022","journal-title":"BMC Oral Health"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib48","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.joen.2015.09.012","article-title":"Role of cone-beam computed tomography in diagnosis of vertical root fractures: a systematic review and meta-analysis","volume":"42","author":"Talwar","year":"2016","journal-title":"J Endod"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib49","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.tripleo.2011.01.010","article-title":"Examination of the prevalence of periapical lesions and technical quality of endodontic treatment in a Turkish subpopulation","volume":"112","author":"\u00d6zba\u015f","year":"2011","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol Endod"},{"issue":"suppl 1","key":"10.1016\/j.cden.2025.05.010_bib50","doi-asserted-by":"crossref","DOI":"10.1590\/1807-3107bor-2018.vol32.0065","article-title":"Unprepared root canal surface areas: causes, clinical implications, and therapeutic strategies","volume":"32","author":"Siqueira Junior","year":"2018","journal-title":"Braz Oral Res"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib51","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1016\/j.joen.2009.12.020","article-title":"Preparation of oval-shaped root canals in mandibular molars using nickel-titanium rotary instruments: a micro-computed tomography study","volume":"36","author":"Paqu\u00e9","year":"2010","journal-title":"J Endod"},{"issue":"11","key":"10.1016\/j.cden.2025.05.010_bib52","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1016\/j.joen.2014.06.023","article-title":"Root canal preparation of mandibular molars with 3 nickel-titanium rotary instruments: a micro-computed tomographic study","volume":"40","author":"Zhao","year":"2014","journal-title":"J Endod"},{"issue":"10","key":"10.1016\/j.cden.2025.05.010_bib53","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1111\/iej.12398","article-title":"A micro-computed tomography evaluation of long-oval canal preparation using reciprocating or rotary systems","volume":"48","author":"Busquim","year":"2015","journal-title":"Int Endod J"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib54","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.joen.2019.10.007","article-title":"The influence of missed canals on the prevalence of periapical lesions in endodontically treated teeth: a cross-sectional study","volume":"46","author":"Baruwa","year":"2020","journal-title":"J Endod"},{"issue":"4","key":"10.1016\/j.cden.2025.05.010_bib55","doi-asserted-by":"crossref","first-page":"2317","DOI":"10.1007\/s00784-020-03554-4","article-title":"Missed canals in endodontically treated maxillary molars of a Brazilian subpopulation: prevalence and association with periapical lesion using cone-beam computed tomography","volume":"25","author":"do Carmo","year":"2021","journal-title":"Clin Oral Invest"},{"issue":"8","key":"10.1016\/j.cden.2025.05.010_bib56","doi-asserted-by":"crossref","first-page":"926","DOI":"10.5005\/jp-journals-10024-2894","article-title":"Effectiveness of artificial intelligence applications designed for endodontic diagnosis, decision-making, and prediction of prognosis: a systematic review","volume":"21","author":"Boreak","year":"2020","journal-title":"J Contemp Dent Pract"},{"issue":"3","key":"10.1016\/j.cden.2025.05.010_bib57","doi-asserted-by":"crossref","DOI":"10.1259\/dmfr.20180218","article-title":"A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography","volume":"48","author":"Hiraiwa","year":"2019","journal-title":"Dentomaxillofacial Radiol"},{"issue":"5","key":"10.1016\/j.cden.2025.05.010_bib58","doi-asserted-by":"crossref","DOI":"10.1259\/dmfr.20200513","article-title":"Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs","volume":"50","author":"Jeon","year":"2021","journal-title":"Dentomaxillofacial Radiol"},{"issue":"7","key":"10.1016\/j.cden.2025.05.010_bib59","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1016\/j.joen.2022.04.007","article-title":"Development and validation of a visually explainable deep learning model for classification of c-shaped canals of the mandibular second molars in periapical and panoramic dental radiographs","volume":"48","author":"Yang","year":"2022","journal-title":"J Endod"},{"issue":"12","key":"10.1016\/j.cden.2025.05.010_bib60","doi-asserted-by":"crossref","first-page":"3214","DOI":"10.3390\/diagnostics12123214","article-title":"Artificial Intelligence (AI) for detection and localization of unobturated second Mesial Buccal (MB2) canals in cone-beam computed tomography (CBCT)","volume":"12","author":"Albitar","year":"2022","journal-title":"Diagnostics"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib61","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1007\/s10266-023-00864-3","article-title":"Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images","volume":"112","author":"Duman","year":"2024","journal-title":"Odontology"},{"issue":"1","key":"10.1016\/j.cden.2025.05.010_bib62","article-title":"Artificial intelligence in diagnosing dens evaginatus on periapical radiography with limited data availability","volume":"13","author":"Choi","year":"2023","journal-title":"Sci Rep"},{"key":"10.1016\/j.cden.2025.05.010_bib63","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2021.103610","article-title":"Artificial intelligence in dental research: checklist for authors, reviewers, readers","volume":"107","author":"Schwendicke","year":"2021","journal-title":"J Dent"},{"issue":"9","key":"10.1016\/j.cden.2025.05.010_bib64","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1177\/00220345241255593","article-title":"The use of artificial intelligence in endodontics","volume":"103","author":"Setzer","year":"2024","journal-title":"J Dent Res"},{"issue":"2","key":"10.1016\/j.cden.2025.05.010_bib65","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.joen.2023.11.002","article-title":"Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation","volume":"50","author":"Huang","year":"2024","journal-title":"J Endod"}],"container-title":["Dental Clinics of North America"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0011853225000424?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0011853225000424?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T22:22:02Z","timestamp":1760566922000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0011853225000424"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":65,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["S0011853225000424"],"URL":"https:\/\/doi.org\/10.1016\/j.cden.2025.05.010","relation":{},"ISSN":["0011-8532"],"issn-type":[{"value":"0011-8532","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Increasing Diagnostic Acumen in Endodontics","name":"articletitle","label":"Article Title"},{"value":"Dental Clinics of North America","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cden.2025.05.010","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}