{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T15:49:51Z","timestamp":1790351391109,"version":"4.1.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T00:00:00Z","timestamp":1765411200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T00:00:00Z","timestamp":1765411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/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":["82071112"],"award-info":[{"award-number":["82071112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC2506301"],"award-info":[{"award-number":["2023YFC2506301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["22ZR1437500"],"award-info":[{"award-number":["22ZR1437500"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Clinical Research Plan of Shanghai Hospital Development Center","award":["SHDC2020CR5015"],"award-info":[{"award-number":["SHDC2020CR5015"]}]},{"name":"Cross-disciplinary Research Fund of Shanghai Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine","award":["JYJC202005"],"award-info":[{"award-number":["JYJC202005"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Oral Health"],"DOI":"10.1186\/s12903-025-07250-1","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T14:35:04Z","timestamp":1765463704000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A deep learning approach to predict the results of root coverage procedures based on intraoral photographs: a retrospective study"],"prefix":"10.1186","volume":"25","author":[{"given":"Wentao","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiachen","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongchen","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,11]]},"reference":[{"issue":"3","key":"7250_CR1","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1111\/idj.12617","volume":"71","author":"JC Imber","year":"2021","unstructured":"Imber JC, Kasaj A. Treatment of gingival recession: when and how? Int Dent J. 2021;71(3):178\u201387.","journal-title":"Int Dent J"},{"issue":"4","key":"7250_CR2","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1902\/jop.2007.060277","volume":"78","author":"G Daprile","year":"2007","unstructured":"Daprile G, Gatto MR, Checchi L. The evolution of buccal gingival recessions in a student population: a 5-year follow-up. J Periodontol. 2007;78(4):611\u20134.","journal-title":"J Periodontol"},{"issue":"2","key":"7250_CR3","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1111\/j.1600-0528.1976.tb01607.x","volume":"4","author":"G Sangnes","year":"1976","unstructured":"Sangnes G, Gjermo P. Prevalence of oral soft and hard tissue lesions related to mechanical toothcleansing procedures. Community Dent Oral Epidemiol. 1976;4(2):77\u201383.","journal-title":"Community Dent Oral Epidemiol"},{"issue":"1","key":"7250_CR4","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1111\/j.1600-051X.1994.tb00278.x","volume":"21","author":"G Serino","year":"1994","unstructured":"Serino G, Wennstr\u00f6m JL, Lindhe J, Eneroth L. The prevalence and distribution of gingival recession in subjects with a high standard of oral hygiene. J Clin Periodontol. 1994;21(1):57\u201363.","journal-title":"J Clin Periodontol"},{"issue":"2","key":"7250_CR5","doi-asserted-by":"publisher","first-page":"220","DOI":"10.14219\/jada.archive.2003.0137","volume":"134","author":"MM Kassab","year":"2003","unstructured":"Kassab MM, Cohen RE. The etiology and prevalence of gingival recession. J Am Dent Assoc. 2003;134(2):220\u20135.","journal-title":"J Am Dent Assoc"},{"key":"7250_CR6","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.jdent.2018.06.005","volume":"76","author":"J Seong","year":"2018","unstructured":"Seong J, Bartlett D, Newcombe RG, Claydon NCA, Hellin N, West NX. Prevalence of gingival recession and study of associated related factors in young UK adults. J Dent. 2018;76:58\u201367.","journal-title":"J Dent"},{"issue":"2","key":"7250_CR7","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1007\/s00784-019-02996-9","volume":"24","author":"F Vignoletti","year":"2020","unstructured":"Vignoletti F, Di Martino M, Clementini M, Di Domenico GL, de Sanctis M. Prevalence and risk indicators of gingival recessions in an Italian school of dentistry and dental hygiene: a cross-sectional study. Clin Oral Investig. 2020;24(2):991\u20131000.","journal-title":"Clin Oral Investig"},{"issue":"12","key":"7250_CR8","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1111\/j.1600-051X.2011.01799.x","volume":"38","author":"F Matas","year":"2011","unstructured":"Matas F, Sent\u00eds J, Mendieta C. Ten-year longitudinal study of gingival recession in dentists. J Clin Periodontol. 2011;38(12):1091\u20138.","journal-title":"J Clin Periodontol"},{"issue":"1","key":"7250_CR9","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1111\/j.1600-0757.2011.00434.x","volume":"59","author":"P Cortellini","year":"2012","unstructured":"Cortellini P, Pini Prato G. Coronally advanced flap and combination therapy for root coverage. Clinical strategies based on scientific evidence and clinical experience. Periodontol 2000. 2012;59(1):158\u201384.","journal-title":"Periodontol 2000"},{"issue":"5","key":"7250_CR10","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1111\/jcpe.13106","volume":"46","author":"A Dai","year":"2019","unstructured":"Dai A, Huang JP, Ding PH, Chen LL. Long-term stability of root coverage procedures for single gingival recessions: a systematic review and meta-analysis. J Clin Periodontol. 2019;46(5):572\u201385.","journal-title":"J Clin Periodontol"},{"issue":"1","key":"7250_CR11","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1111\/prd.12205","volume":"77","author":"M Stefanini","year":"2018","unstructured":"Stefanini M, Marzadori M, Aroca S, Felice P, Sangiorgi M, Zucchelli G. Decision making in root-coverage procedures for the esthetic outcome. Periodontol 2000. 2018;77(1):54\u201364.","journal-title":"Periodontol 2000"},{"issue":"7","key":"7250_CR12","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1111\/j.1600-051X.2011.01732.x","volume":"38","author":"F Cairo","year":"2011","unstructured":"Cairo F, Nieri M, Cincinelli S, Mervelt J, Pagliaro U. The interproximal clinical attachment level to classify gingival recessions and predict root coverage outcomes: an explorative and reliability study. J Clin Periodontol. 2011;38(7):661\u20136.","journal-title":"J Clin Periodontol"},{"issue":"4","key":"7250_CR13","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1902\/jop.2006.050038","volume":"77","author":"G Zucchelli","year":"2006","unstructured":"Zucchelli G, Testori T, De Sanctis M. Clinical and anatomical factors limiting treatment outcomes of gingival recession: a new method to predetermine the line of root coverage. J Periodontol. 2006;77(4):714\u201321.","journal-title":"J Periodontol"},{"key":"7250_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2022.104115","volume":"122","author":"H Mohammad-Rahimi","year":"2022","unstructured":"Mohammad-Rahimi H, Motamedian SR, Rohban MH, Krois J, Uribe SE, Mahmoudinia E, et al. Deep learning for caries detection: a systematic review. J Dent. 2022;122:104115.","journal-title":"J Dent"},{"issue":"2","key":"7250_CR15","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.ajodo.2021.02.013","volume":"160","author":"H Mohammad-Rahimi","year":"2021","unstructured":"Mohammad-Rahimi H, Nadimi M, Rohban MH, Shamsoddin E, Lee VY, Motamedian SR. Machine learning and orthodontics, current trends and the future opportunities: a scoping review. Am J Orthod Dentofacial Orthop. 2021;160(2):170\u2013e192174.","journal-title":"Am J Orthod Dentofacial Orthop"},{"issue":"3","key":"7250_CR16","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1177\/0022034520969115","volume":"100","author":"T Shan","year":"2021","unstructured":"Shan T, Tay FR, Gu L. Application of artificial intelligence in dentistry. J Dent Res. 2021;100(3):232\u201344.","journal-title":"J Dent Res"},{"issue":"5","key":"7250_CR17","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.identj.2023.03.007","volume":"73","author":"RCW Chau","year":"2023","unstructured":"Chau RCW, Li GH, Tew IM, Thu KM, McGrath C, Lo WL, et al. Accuracy of artificial Intelligence-based photographic detection of gingivitis. Int Dent J. 2023;73(5):724\u201330.","journal-title":"Int Dent J"},{"issue":"2","key":"7250_CR18","doi-asserted-by":"publisher","first-page":"114","DOI":"10.5051\/jpis.2018.48.2.114","volume":"48","author":"JH Lee","year":"2018","unstructured":"Lee JH, Kim DH, Jeong SN, Choi SH. Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm. J Periodontal Implant Sci. 2018;48(2):114\u201323.","journal-title":"J Periodontal Implant Sci"},{"issue":"1","key":"7250_CR19","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-024-05072-1","volume":"24","author":"Y Liu","year":"2024","unstructured":"Liu Y, Cheng Y, Song Y, Cai D, Zhang N. Oral screening of dental calculus, gingivitis and dental caries through segmentation on intraoral photographic images using deep learning. BMC Oral Health. 2024;24(1):1287.","journal-title":"BMC Oral Health"},{"issue":"1","key":"7250_CR20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-70311-y","volume":"14","author":"C Wen","year":"2024","unstructured":"Wen C, Bai X, Yang J, Li S, Wang X, Yang D. Deep learning based approach: automated gingival inflammation grading model using gingival removal strategy. Sci Rep. 2024;14(1):19780.","journal-title":"Sci Rep"},{"issue":"12","key":"7250_CR21","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering11121267","volume":"11","author":"SK Mallineni","year":"2024","unstructured":"Mallineni SK, Sethi M, Punugoti D, Kotha SB, Alkhayal Z, Mubaraki S, et al. Artificial intelligence in dentistry: a descriptive review. Bioengineering. 2024;11(12):1267.","journal-title":"Bioengineering"},{"issue":"4","key":"7250_CR22","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s00784-025-06283-8","volume":"29","author":"LBA Cassiano","year":"2025","unstructured":"Cassiano LBA, da Silva JPC, Martins AA, Barbosa MT, Rodrigues KT, Barbosa \u00c1RL, da Silva Gomes GE, Maia PRL, de Oliveira PT, de Sousa Lopes MLD, et al. Evaluation of an artificial intelligence-based model in diagnosing periodontal radiographic bone loss. Clin Oral Investig. 2025;29(4):195.","journal-title":"Clin Oral Investig"},{"issue":"4","key":"7250_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000816","volume":"4","author":"A Sohrabi","year":"2025","unstructured":"Sohrabi A, Ameli N, Mirimoghaddam M, Berlin-Broner Y, Lai H, Amin M. Deep learning-based assessment of pulp involvement in primary molars using YOLO v8. PLoS Digit Health. 2025;4(4):e0000816.","journal-title":"PLoS Digit Health"},{"issue":"10","key":"7250_CR24","first-page":"Cd007161","volume":"10","author":"L Chambrone","year":"2018","unstructured":"Chambrone L, Salinas Ortega MA, Sukekava F, Rotundo R, Kalemaj Z, Buti J, Pini Prato GP. Root coverage procedures for treating localised and multiple recession-type defects. Cochrane Database Syst Rev. 2018;10(10):Cd007161.","journal-title":"Cochrane Database Syst Rev"},{"issue":"3","key":"7250_CR25","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1111\/jcpe.13229","volume":"47","author":"F Cairo","year":"2020","unstructured":"Cairo F, Cortellini P, Nieri M, Pilloni A, Barbato L, Pagavino G, et al. Coronally advanced flap and composite restoration of the enamel with or without connective tissue graft for the treatment of single maxillary gingival recession with non-carious cervical lesion. A randomized controlled clinical trial. J Clin Periodontol. 2020;47(3):362\u201371.","journal-title":"J Clin Periodontol"},{"issue":"1","key":"7250_CR26","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1111\/prd.12059","volume":"68","author":"G Zucchelli","year":"2015","unstructured":"Zucchelli G, Mounssif I. Periodontal plastic surgery. Periodontol 2000. 2015;68(1):333\u201368.","journal-title":"Periodontol 2000"},{"issue":"1","key":"7250_CR27","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1111\/prd.12468","volume":"92","author":"C Mazzotti","year":"2023","unstructured":"Mazzotti C, Mounssif I, Rend\u00f3n A, Mele M, Sangiorgi M, Stefanini M, et al. Complications and treatment errors in root coverage procedures. Periodontol 2000. 2023;92(1):62\u201389.","journal-title":"Periodontol 2000"},{"key":"7250_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/fdmed.2023.1085251","volume":"4","author":"H Ding","year":"2023","unstructured":"Ding H, Wu J, Zhao W, Matinlinna JP, Burrow MF, Tsoi JKH. Artificial intelligence in dentistry-a review. Front Dent Med. 2023;4:1085251.","journal-title":"Front Dent Med"},{"issue":"5","key":"7250_CR29","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1111\/jre.13037","volume":"57","author":"H Mohammad-Rahimi","year":"2022","unstructured":"Mohammad-Rahimi H, Motamedian SR, Pirayesh Z, Haiat A, Zahedrozegar S, Mahmoudinia E, et al. Deep learning in periodontology and oral implantology: a scoping review. J Periodontal Res. 2022;57(5):942\u201351.","journal-title":"J Periodontal Res"},{"key":"7250_CR30","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13182979","author":"Z Mustafa","year":"2023","unstructured":"Mustafa Z, Nsour H. Using computer vision techniques to automatically detect abnormalities in chest x-rays. Diagnostics. 2023. https:\/\/doi.org\/10.3390\/diagnostics13182979.","journal-title":"Diagnostics"},{"key":"7250_CR31","doi-asserted-by":"publisher","DOI":"10.3390\/medicina59122138","author":"M Ra\u0161i\u0107","year":"2023","unstructured":"Ra\u0161i\u0107 M, Trop\u010di\u0107 M, Karlovi\u0107 P, Gabri\u0107 D, Suba\u0161i\u0107 M, Kne\u017eevi\u0107 P. Detection and segmentation of radiolucent lesions in the lower jaw on panoramic radiographs using deep neural networks. Medicina (B Aires). 2023. https:\/\/doi.org\/10.3390\/medicina59122138.","journal-title":"Medicina (B Aires)"},{"key":"7250_CR32","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14050474","author":"A Sahafi","year":"2024","unstructured":"Sahafi A, Koulaouzidis A, Lalinia M. Polypoid lesion segmentation using YOLO-V8 network in wireless video capsule endoscopy images. Diagnostics. 2024. https:\/\/doi.org\/10.3390\/diagnostics14050474.","journal-title":"Diagnostics"},{"issue":"2","key":"7250_CR33","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1016\/j.jds.2025.01.003","volume":"20","author":"KD Nguyen","year":"2025","unstructured":"Nguyen KD, Hoang HT, Doan TH, Dao KQ, Wang DH, Hsu ML. Segmentanytooth: an open-source deep learning framework for tooth enumeration and segmentation in intraoral photos. J Dent Sci. 2025;20(2):1110\u20137.","journal-title":"J Dent Sci"},{"issue":"1","key":"7250_CR34","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-022-02589-1","volume":"22","author":"EY Park","year":"2022","unstructured":"Park EY, Cho H, Kang S, Jeong S, Kim EK. Caries detection with tooth surface segmentation on intraoral photographic images using deep learning. BMC Oral Health. 2022;22(1):573.","journal-title":"BMC Oral Health"}],"container-title":["BMC Oral Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12903-025-07250-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12903-025-07250-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12903-025-07250-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T14:35:05Z","timestamp":1765463705000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12903-025-07250-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,11]]},"references-count":34,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["7250"],"URL":"https:\/\/doi.org\/10.1186\/s12903-025-07250-1","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-7234758\/v1","asserted-by":"object"}]},"ISSN":["1472-6831"],"issn-type":[{"value":"1472-6831","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,11]]},"assertion":[{"value":"28 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study is a retrospective study. All experimental protocols in this study were reviewed and approved by Ethics Committee of Shanghai Ninth People\u2032 s Hospital, Shanghai Jiao Tong University School of Medicine (Approval Letter SH9H-2021-T414-1). All patients had signed informed consent forms prior to their inclusion in this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1894"}}