{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:52:08Z","timestamp":1774947128586,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002842","name":"Chiang Mai University","doi-asserted-by":"publisher","award":["R66IN00395"],"award-info":[{"award-number":["R66IN00395"]}],"id":[{"id":"10.13039\/501100002842","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-024-01317-1","type":"journal-article","created":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T13:49:19Z","timestamp":1731937759000},"page":"2462-2471","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification"],"prefix":"10.1007","volume":"38","author":[{"given":"Thatphong","family":"Pornvoranant","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3557-586X","authenticated-orcid":false,"given":"Wannakamon","family":"Panyarak","sequence":"additional","affiliation":[]},{"given":"Kittichai","family":"Wantanajittikul","sequence":"additional","affiliation":[]},{"given":"Arnon","family":"Charuakkra","sequence":"additional","affiliation":[]},{"given":"Pimduen","family":"Rungsiyakull","sequence":"additional","affiliation":[]},{"given":"Pisaisit","family":"Chaijareenont","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"1317_CR1","doi-asserted-by":"crossref","unstructured":"Elani HW, Starr JR, Da Silva JD, et al.: Trends in Dental Implant Use in the U.S., 1999\u20132016, and Projections to 2026. J Dent Res 97(13):1424\u20131430, 2018","DOI":"10.1177\/0022034518792567"},{"key":"1317_CR2","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jdent.2019.03.008","volume":"84","author":"MS Howe","year":"2019","unstructured":"Howe MS, Keys W, Richards D: Long-term (10-year) dental implant survival: A systematic review and sensitivity meta-analysis. J Dent 84:9-21, 2019","journal-title":"J Dent"},{"issue":"1","key":"1317_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/2363298","volume":"2020","author":"V Patil","year":"2020","unstructured":"Patil V, Naik N, Gadicherla S, et al.: Biomechanical Behavior of Bioactive Material in Dental Implant: A Three-Dimensional Finite Element Analysis. ScientificWorldJournal 2020(1):1-9, 2020","journal-title":"ScientificWorldJournal"},{"issue":"1","key":"1317_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/jfb9010007","volume":"9","author":"HS Alghamdi","year":"2018","unstructured":"Alghamdi HS: Methods to Improve Osseointegration of Dental Implants in Low Quality (Type-IV) Bone: An Overview. J Funct Biomater 9(1):1-8, 2018","journal-title":"J Funct Biomater"},{"issue":"1","key":"1317_CR5","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1186\/s12903-021-01790-y","volume":"21","author":"J Losenick\u00e1","year":"2021","unstructured":"Losenick\u00e1 J, Gajdo\u0161 O, Kamensk\u00fd V: Cost-utility analysis of an implant treatment in dentistry. BMC Oral Health 21(1):433, 2021","journal-title":"BMC Oral Health"},{"issue":"1","key":"1317_CR6","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1002\/cre2.521","volume":"8","author":"ON Bandiaky","year":"2022","unstructured":"Bandiaky ON, Lokossou DL, Soueidan A, et al.: Implant-supported removable partial dentures compared to conventional dentures: A systematic review and meta-analysis of quality of life, patient satisfaction, and biomechanical complications. Clin Exp Dent Res 8(1):394-312, 2022","journal-title":"Clin Exp Dent Res"},{"issue":"2","key":"1317_CR7","doi-asserted-by":"publisher","first-page":"86","DOI":"10.4103\/0975-962X.184650","volume":"7","author":"Y Mittal","year":"2016","unstructured":"Mittal Y, Jindal G, Garg S: Bone manipulation procedures in dental implants. Indian J Dent 7(2):86-94, 2016","journal-title":"Indian J Dent"},{"key":"1317_CR8","unstructured":"Lekholm U, Zarb GA: In: Patient selection and preparation.Tissue integrated prostheses: osseointegration in clinical dentistry, 1, Chicago: Quintessence Publishing Company, 1985"},{"issue":"4","key":"1317_CR9","doi-asserted-by":"publisher","first-page":"342","DOI":"10.11607\/ijp.5714","volume":"31","author":"AA Al-Ekrish","year":"2018","unstructured":"Al-Ekrish AA, Widmann G, Alfadda SA: Revised, Computed Tomography-Based Lekholm and Zarb Jawbone Quality Classification. Int J Prosthodont 31(4):342-345, 2018","journal-title":"Int J Prosthodont"},{"issue":"6","key":"1317_CR10","doi-asserted-by":"publisher","first-page":"e0253283","DOI":"10.1371\/journal.pone.0253283","volume":"16","author":"K Shemtov-Yona","year":"2021","unstructured":"Shemtov-Yona K: Quantitative assessment of the jawbone quality classification: A meta-analysis study. PLoS One 16(6):e0253283, 2021","journal-title":"PLoS One"},{"key":"1317_CR11","unstructured":"Rosas-D\u00edaz JC C-LN, Palomino-Zorrilla JJ, Guerrero ME, et al.: Repeatability and reproducibility of a modified Lekholm and Zarb bone quality classification based on cone beam computed tomography. J Int Soc Prevent Communit Dent 2022:1\u20139, 2022"},{"issue":"9","key":"1317_CR12","doi-asserted-by":"publisher","first-page":"1108","DOI":"10.1016\/j.ijom.2014.02.016","volume":"43","author":"MC Goiato","year":"2014","unstructured":"Goiato MC, dos Santos DM, Santiago JF, et al.: Longevity of dental implants in type IV bone: a systematic review. Int J Oral Maxillofac Surg 43(9):1108-1116, 2014","journal-title":"Int J Oral Maxillofac Surg"},{"issue":"8","key":"1317_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/jcm11082143","volume":"11","author":"E Kosan","year":"2022","unstructured":"Kosan E, Krois J, Wingenfeld K, et al.: Patients' Perspectives on Artificial Intelligence in Dentistry: A Controlled Study. J Clin Med 11(8):1-10, 2022","journal-title":"J Clin Med"},{"issue":"1","key":"1317_CR14","doi-asserted-by":"publisher","first-page":"5711","DOI":"10.1038\/s41598-020-62586-8","volume":"10","author":"H Kwak","year":"2020","unstructured":"Kwak H, Kwak E-J, Song J-M, et al.: Automatic mandibular canal detection using a deep convolutional neural network. Sci Rep 10(1):5711, 2020","journal-title":"Sci Rep"},{"issue":"2","key":"1317_CR15","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.oooo.2022.06.012","volume":"135","author":"W Panyarak","year":"2023","unstructured":"Panyarak W, Wantanajittikul K, Suttapak W, et al.: Feasibility of deep learning for dental caries classification in bitewing radiographs based on the ICCMS\u2122 radiographic scoring system. Oral Surg Oral Med Oral Pathol Oral Radiol 135(2):272-281, 2023","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol"},{"issue":"34","key":"1317_CR16","doi-asserted-by":"publisher","first-page":"103844","DOI":"10.1016\/j.bspc.2022.103844","volume":"77","author":"K Muhammed Sunnetci","year":"2022","unstructured":"Muhammed Sunnetci K, Ulukaya S, Alkan A: Periodontal bone loss detection based on hybrid deep learning and machine learning models with a user-friendly application. Biomedical Signal Processing and Control 77(34):103844, 2022","journal-title":"Biomedical Signal Processing and Control"},{"issue":"1","key":"1317_CR17","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1186\/s40729-020-00250-6","volume":"6","author":"T Takahashi","year":"2020","unstructured":"Takahashi T, Nozaki K, Gonda T, et al.: Identification of dental implants using deep learning-pilot study. Int J Implant Dent 6(1):53, 2020","journal-title":"Int J Implant Dent"},{"key":"1317_CR18","doi-asserted-by":"crossref","unstructured":"Lee J-H, Yun J-H, Kim Y-T: Deep learning to assess bone quality from panoramic radiographs: the feasibility of clinical application through comparison with an implant surgeon and cone-beam computed tomography. J Periodontal Implant Sci 54, 2024","DOI":"10.5051\/jpis.2302880144"},{"issue":"1","key":"1317_CR19","doi-asserted-by":"publisher","first-page":"12841","DOI":"10.1038\/s41598-022-16074-w","volume":"12","author":"Y Xiao","year":"2022","unstructured":"Xiao Y, Liang Q, Zhou L, et al.: Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomography. Sci Rep 12(1):12841, 2022","journal-title":"Sci Rep"},{"issue":"7","key":"1317_CR20","doi-asserted-by":"publisher","first-page":"1269","DOI":"10.3390\/healthcare10071269","volume":"10","author":"A Thurzo","year":"2022","unstructured":"Thurzo A, Urbanov\u00e1 W, Nov\u00e1k B, et al.: Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel) 10(7):1269, 2022","journal-title":"Healthcare (Basel)"},{"key":"1317_CR21","doi-asserted-by":"publisher","unstructured":"Selvaraju RR, Cogswell M, Das A, et al.: Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. arXiv preprinting. https:\/\/doi.org\/10.48550\/arXiv.1610.02391, 2017","DOI":"10.48550\/arXiv.1610.02391"},{"issue":"8","key":"1317_CR22","doi-asserted-by":"publisher","first-page":"e669","DOI":"10.4317\/jced.59384","volume":"14","author":"GR Caetano","year":"2022","unstructured":"Caetano GR, Soares MQ, Oliveira LB, et al.: Two-dimensional radiographs versus cone-beam computed tomography in planning mini-implant placement: A systematic review. J Clin Exp Dent 14(8):e669-e77, 2022","journal-title":"J Clin Exp Dent"},{"key":"1317_CR23","doi-asserted-by":"crossref","unstructured":"Dioguardi M, Spirito F, Quarta C, et al.: Guided Dental Implant Surgery: Systematic Review. J Clin Med 12(4), 2023","DOI":"10.3390\/jcm12041490"},{"issue":"6","key":"1317_CR24","first-page":"697","volume":"23","author":"A Rokn","year":"2014","unstructured":"Rokn A, Rasouli AA, Daneshmonfared M, et al.: Tactile sense of the surgeon in determining bone density when placing dental implant. Implant Dent 23(6):697-703, 2014","journal-title":"Implant Dent"},{"key":"1317_CR25","unstructured":"Misch CE: Bone density: a key determinant for treatment planning. Contemporary Implant Dentistry:130\u2013146, 2008"},{"issue":"9","key":"1317_CR26","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1111\/jcpe.13689","volume":"49","author":"N Huang","year":"2022","unstructured":"Huang N, Liu P, Yan Y, et al.: Predicting the risk of dental implant loss using deep learning. J Clin Periodontol 49(9):872-883, 2022","journal-title":"J Clin Periodontol"},{"issue":"2","key":"1317_CR27","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.tripleo.2007.08.007","volume":"105","author":"RC Oliveira","year":"2008","unstructured":"Oliveira RC, Leles CR, Normanha LM, et al.: Assessments of trabecular bone density at implant sites on CT images. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 105(2):231-238, 2008","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol Endod"},{"issue":"2","key":"1317_CR28","first-page":"725","volume":"37","author":"B Le","year":"2024","unstructured":"Le B, Nhu N, Pham V, et al.: Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO\/OTA Classification. Journal of Imaging Informatics in Medicine 37(2):725-733, 2024","journal-title":"Journal of Imaging Informatics in Medicine"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01317-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-024-01317-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01317-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T23:56:07Z","timestamp":1757116567000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-024-01317-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,18]]},"references-count":28,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["1317"],"URL":"https:\/\/doi.org\/10.1007\/s10278-024-01317-1","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,18]]},"assertion":[{"value":"14 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}