{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T04:43:57Z","timestamp":1793940237856,"version":"4.8.0"},"reference-count":62,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technologically Enabled Advancements in Dental Medicine (TEAM), Planul Na\u021bional de Redresare \u0219i Rezilien\u021b\u0103 (PNRR)","award":["PNRR-III-C9-2023-I8"],"award-info":[{"award-number":["PNRR-III-C9-2023-I8"]}]},{"name":"Technologically Enabled Advancements in Dental Medicine (TEAM), Planul Na\u021bional de Redresare \u0219i Rezilien\u021b\u0103 (PNRR)","award":["CF.80\/31.07.2023"],"award-info":[{"award-number":["CF.80\/31.07.2023"]}]},{"name":"Technologically Enabled Advancements in Dental Medicine (TEAM), Planul Na\u021bional de Redresare \u0219i Rezilien\u021b\u0103 (PNRR)","award":["760235"],"award-info":[{"award-number":["760235"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: The integration of AI into dentistry holds promise for improving diagnostic workflows, particularly in the detection of dental pathologies and pre-radiotherapy screening for head and neck cancer patients. This study aimed to develop and validate an AI model for detecting various dental conditions, with a focus on identifying teeth at risk prior to radiotherapy. Methods: A YOLOv8 model was trained on a dataset of 1628 annotated panoramic radiographs and externally validated on 180 radiographs from multiple centers. The model was designed to detect a variety of dental conditions, including periapical lesions, impacted teeth, root fragments, prosthetic restorations, and orthodontic devices. Results: The model showed strong performance in detecting implants, endodontic treatments, and surgical devices, with precision and recall values exceeding 0.8 for several conditions. However, performance declined during external validation, highlighting the need for improvements in generalizability. Conclusions: YOLOv8 demonstrated robust detection capabilities for several dental conditions, especially in training data. However, further refinement is needed to enhance generalizability in external datasets and improve performance for conditions like periapical lesions and bone loss.<\/jats:p>","DOI":"10.3390\/diagnostics14202336","type":"journal-article","created":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T06:35:00Z","timestamp":1729492500000},"page":"2336","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Automating Dental Condition Detection on Panoramic Radiographs: Challenges, Pitfalls, and Opportunities"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0584-5649","authenticated-orcid":false,"given":"Sorana","family":"Mure\u0219anu","sequence":"first","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery and Radiology, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 32 Clinicilor Street, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihaela","family":"Hede\u0219iu","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery and Radiology, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 32 Clinicilor Street, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6488-1855","authenticated-orcid":false,"given":"Liviu","family":"Iacob","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Radu","family":"Eftimie","sequence":"additional","affiliation":[{"name":"Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 32 Clinicilor Street, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eliza","family":"Olariu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Dinu","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery and Radiology, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 32 Clinicilor Street, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinhilde","family":"Jacobs","sequence":"additional","affiliation":[{"name":"OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Katholieke Universiteit Leuven, 3000 Louvain, Belgium"},{"name":"Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, 3000 Louvain, Belgium"},{"name":"Department of Dental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"on behalf of Team Project Group","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1038\/s41591-021-01614-0","article-title":"AI in Health and Medicine","volume":"28","author":"Rajpurkar","year":"2022","journal-title":"Nat. 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