{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:17:51Z","timestamp":1787015871707,"version":"build-2736575974"},"reference-count":46,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Commission, Adminitrative Commission of Zhongguancun Science Park","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Commission, Adminitrative Commission of Zhongguancun Science Park","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003213","name":"Beijing Municipal Education Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003213","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002799","name":"Capital Medical University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002799","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005150","name":"Chinese Academy of Medical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005150","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003213","name":"Beijing Municipal Education Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003213","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Commission, Adminitrative Commission of Zhongguancun Science Park","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Oral Diseases"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Utilizing a deep learning approach is an emerging trend to improve the efficiency of periodontitis diagnosis and classification. This study aimed to use an object detection model to automatically annotate the anatomic structure and subsequently classify the stages of radiographic bone loss (RBL).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>\n                      In all, 558 panoramic radiographs were cropped to 7359 pieces of individual teeth. The detection performance of the model was assessed using mean average precision (mAP), root mean squared error (RMSE). The classification performance was evaluated using accuracy, precision, recall, and\n                      <jats:italic>F<\/jats:italic>\n                      1 score. Additionally, receiver operating characteristic (ROC) curves and confusion matrices were presented, and the area under the ROC curve (AUC) was calculated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The mAP was 0.88 when the difference between the ground truth and prediction was 10 pixels, and 0.99 when the difference was 25 pixels. For all images, the mean RMSE was 7.30 pixels. Overall, the accuracy, precision, recall,\n                      <jats:italic>F<\/jats:italic>\n                      1 score, and micro\u2010average AUC of the prediction were 0.72, 0.76, 0.64, 0.68, and 0.79, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The current model is reliable in assisting with the detection and staging of radiographic bone levels.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/odi.15269","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T06:43:42Z","timestamp":1738219422000},"page":"2273-2281","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Deep Learning for Staging Periodontitis Using Panoramic Radiographs"],"prefix":"10.1111","volume":"31","author":[{"given":"Xin","family":"Li","sequence":"first","affiliation":[{"name":"School of Public Health, National Institute for Data Science in Health and Medicine Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kejia","family":"Chen","sequence":"additional","affiliation":[{"name":"Hunan Key Laboratory of Oral Health Research, Hunan 3D Printing Engineering Research Center of Oral Care, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Academician Workstation for Oral\u2010Maxilofacial and Regenerative Medicine, Department of Radiology, Xiangya Stomatological Hospital, Xiangya School of Stomatology Central South University  Changsha Hunan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Implant Dentistry, Beijing Stomatological Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongqi","family":"He","sequence":"additional","affiliation":[{"name":"Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajie","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeliang","family":"Li","sequence":"additional","affiliation":[{"name":"Xiangya School of Stomatology Central South University  Changsha Hunan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangyu","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Implant Dentistry, Beijing Stomatological Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7066-2654","authenticated-orcid":false,"given":"Songlin","family":"Wang","sequence":"additional","affiliation":[{"name":"Salivary Gland Disease Center and Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Beijing Laboratory of Oral Health and Beijing Stomatological Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,1,30]]},"reference":[{"key":"e_1_2_14_2_1","unstructured":"AC G. J. andJ.Qiu.2023.\u201cYOLO by Ultralytics.\u201d"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-022-02436-3"},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2015150023"},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.identj.2023.08.002"},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jds.2023.03.020"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jds.2023.09.032"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102444"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-021-02431-z"},{"key":"e_1_2_14_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11282-022-00622-1"},{"key":"e_1_2_14_11_1","doi-asserted-by":"publisher","DOI":"10.5051\/jpis.2201060053"},{"key":"e_1_2_14_12_1","unstructured":"Guan Q. Y.Huang Z.Zhong Z.Zheng L.Zheng andY.Yang.2018.\u201cDiagnose Like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification.\u201darxiv:1801.09927."},{"key":"e_1_2_14_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41577-020-00488-6"},{"key":"e_1_2_14_14_1","unstructured":"He K. X.Zhang S.Ren andJ.Sun.2015. \u201cDeep Residual Learning for Image Recognition (Version 1).\u201d arXiv.https:\/\/doi.org\/10.48550\/ARXIV.1512.03385."},{"key":"e_1_2_14_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcpe.13639"},{"key":"e_1_2_14_16_1","unstructured":"Jacob Solawetz F.2023.\u201cWhat is YOLOv8? The Ultimate Guide.\u201d"},{"key":"e_1_2_14_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-022-02119-z"},{"key":"e_1_2_14_18_1","doi-asserted-by":"publisher","DOI":"10.1177\/0022034514552491"},{"key":"e_1_2_14_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-53758-2"},{"key":"e_1_2_14_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106374"},{"key":"e_1_2_14_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-44839-3"},{"key":"e_1_2_14_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1972.324115"},{"key":"e_1_2_14_23_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.620"},{"key":"e_1_2_14_24_1","article-title":"Performance of Deep Learning Object Detection Technology in the Detection and Diagnosis of Maxillary Sinus Lesions on Panoramic Radiographs","volume":"50","author":"Kuwana R.","year":"2021","journal-title":"Dento Maxillo Facial Radiology"},{"key":"e_1_2_14_25_1","doi-asserted-by":"publisher","DOI":"10.5051\/jpis.2018.48.2.114"},{"key":"e_1_2_14_26_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-023-03751-z"},{"key":"e_1_2_14_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2023.08.017"},{"key":"e_1_2_14_28_1","doi-asserted-by":"crossref","unstructured":"Ma N. X.Zhang H.\u2010T.Zheng andJ.Sun.2018. \u201cShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design (Version 1).\u201d arXiv.https:\/\/doi.org\/10.48550\/ARXIV.1807.11164.","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"e_1_2_14_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9072313"},{"key":"e_1_2_14_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/prd.12536"},{"key":"e_1_2_14_31_1","volume-title":"Understanding YOLOv8 Architecture, Applications & Features","author":"Mehra A.","year":"2023"},{"key":"e_1_2_14_32_1","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020200029"},{"key":"e_1_2_14_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oooo.2022.06.012"},{"key":"e_1_2_14_34_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcpe.12946"},{"key":"e_1_2_14_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_2_14_36_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13095261"},{"key":"e_1_2_14_37_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14063"},{"key":"e_1_2_14_38_1","doi-asserted-by":"publisher","DOI":"10.3390\/make5040083"},{"key":"e_1_2_14_39_1","doi-asserted-by":"publisher","DOI":"10.5624\/isd.2020.50.2.169"},{"key":"e_1_2_14_40_1","doi-asserted-by":"publisher","DOI":"10.1002\/JPER.18-0006"},{"key":"e_1_2_14_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.identj.2022.02.009"},{"key":"e_1_2_14_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13101800"},{"key":"e_1_2_14_43_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13031858"},{"key":"e_1_2_14_44_1","unstructured":"World Health Organization.2022.Non Communicable Diseases."},{"key":"e_1_2_14_45_1","article-title":"Equilibrium Optimization Algorithm With Deep Learning Enabled Prostate Cancer Detection on MRI Images","volume":"11","author":"Yang E.","year":"2023","journal-title":"Biomedicine"},{"key":"e_1_2_14_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-023-09568-2"},{"key":"e_1_2_14_47_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26981"}],"container-title":["Oral Diseases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/odi.15269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T06:19:20Z","timestamp":1754288360000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/odi.15269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,30]]},"references-count":46,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10.1111\/odi.15269"],"URL":"https:\/\/doi.org\/10.1111\/odi.15269","archive":["Portico"],"relation":{"has-review":[{"id-type":"doi","id":"10.1111\/ODI.15269\/v2\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v2\/review3","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v1\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v2\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v2\/response1","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v1\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v1\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v1\/review3","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/ODI.15269\/v2\/decision1","asserted-by":"object"}]},"ISSN":["1354-523X","1601-0825"],"issn-type":[{"value":"1354-523X","type":"print"},{"value":"1601-0825","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,30]]},"assertion":[{"value":"2024-10-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-15","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}