{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T06:41:18Z","timestamp":1792478478564,"version":"4.5.0"},"reference-count":51,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100007397","name":"Univerzita Karlova v Praze","doi-asserted-by":"publisher","award":["207030"],"award-info":[{"award-number":["207030"]}],"id":[{"id":"10.13039\/100007397","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Australian Dental Journal"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Osteonecrosis of the jaw (ONJ) is a serious condition associated mainly with antiresorptive therapy and maxillofacial radiotherapy. As detection of its radiographic findings may facilitate patient referral, this study aimed to develop convolutional neural networks (CNNs) for ONJ screening in panoramic radiographs (OPGs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A dataset of 888 ONJ\u2010positive OPGs and 888 ONJ\u2010negative controls was assembled and annotated using bounding boxes. The dataset was split at patient level 70\u201310\u201320 for training, validation, and testing. Multiple CNNs (ResNet18, ResNet34, MobileNetV2, EfficientNet\u2010B0) were trained on cropped image regions and evaluated using standard performance metrics. Performance on full OPGs (without cropping) was tested, and subgroup analysis was performed. Regions contributing to model predictions were visualised using Gradient\u2010weighted Class Activation Mapping (Grad\u2010CAM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      EfficientNet\u2010B0 performed best, with per\u2010crop accuracy, sensitivity, specificity, precision, and\n                      <jats:italic>F<\/jats:italic>\n                      1\u2010score of 92.24%, 89.80%, 94.69%, 94.42% and 82.05%, respectively. At 0.9 probability threshold, per\u2010image accuracy, sensitivity, specificity, precision, and\n                      <jats:italic>F<\/jats:italic>\n                      1\u2010score equalled 76.65%. Grad\u2010CAM highlighted clinically relevant regions; however, differentiation from other changes in bone density was suboptimal.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Despite promising results at crop level, model performance in full OPG analysis is currently insufficient for clinical application. Further optimisation of localisation strategies and external validation are needed for reliable clinical application.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/adj.70071","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T06:12:59Z","timestamp":1792476779000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning\u2010Based Screening for Osteonecrosis of the Jaw in Panoramic Radiographs"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3812-8515","authenticated-orcid":false,"given":"Val\u00e9ria","family":"Nagyov\u00e1","sequence":"first","affiliation":[{"name":"Institute of Dental Medicine, First Faculty of Medicine Charles University  Prague Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominik","family":"Bla\u0148\u00e1r","sequence":"additional","affiliation":[{"name":"Faculty of Electrical 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