Artificial Intelligence Application in Assessment of Panoramic Radiographs
Łukasz Zadrożny,Piotr Regulski,Katarzyna Brus-Sawczuk,Marta Czajkowska,László Párkányi,Scott D. Ganz,Eitan Mijiritsky +6 more
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TLDR
The tested AI system can be helpful as an initial evaluation of screening PRs, giving appropriate credibility reports and suggesting additional diagnostic methods for more accurate evaluation if needed.Abstract:
The aim of this study was to assess the reliability of the artificial intelligence (AI) automatic evaluation of panoramic radiographs (PRs). Thirty PRs, covering at least six teeth with the possibility of assessing the marginal and apical periodontium, were uploaded to the Diagnocat (LLC Diagnocat, Moscow, Russia) account, and the radiologic report of each was generated as the basis of automatic evaluation. The same PRs were manually evaluated by three independent evaluators with 12, 15, and 28 years of experience in dentistry, respectively. The data were collected in such a way as to allow statistical analysis with SPSS Statistics software (IBM, Armonk, NY, USA). A total of 90 reports were created for 30 PRs. The AI protocol showed very high specificity (above 0.9) in all assessments compared to ground truth except from periodontal bone loss. Statistical analysis showed a high interclass correlation coefficient (ICC > 0.75) for all interevaluator assessments, proving the good credibility of the ground truth and the reproducibility of the reports. Unacceptable reliability was obtained for caries assessment (ICC = 0.681) and periapical lesions assessment (ICC = 0.619). The tested AI system can be helpful as an initial evaluation of screening PRs, giving appropriate credibility reports and suggesting additional diagnostic methods for more accurate evaluation if needed.read more
Citations
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References
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Journal ArticleDOI
Artificial intelligence in radiology
Ahmed Hosny,Chintan Parmar,John Quackenbush,Lawrence H. Schwartz,Lawrence H. Schwartz,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +6 more
TL;DR: A general understanding of AI methods, particularly those pertaining to image-based tasks, is established and how these methods could impact multiple facets of radiology is explored, with a general focus on applications in oncology.
Journal Article
Clinical applications of cone-beam computed tomography in dental practice.
TL;DR: An overview of currently available maxillofacial CBCT systems is provided and the specific application of various CBCT display modes to clinical dental practice is reviewed.
Journal ArticleDOI
Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.
TL;DR: A deep CNN algorithm provided considerably good performance in detecting dental caries in periapical radiographs, and is expected to be among the most effective and efficient methods for diagnosing dental carie.
Journal Article
Accuracy in measurement of distance using limited cone-beam computerized tomography.
TL;DR: LCBCT was shown to be a useful tool for preoperative evaluation in dental surgery because the relatively small field size of its images limits the patient's exposure to radiation.
Journal ArticleDOI
Artificial Intelligence in Dentistry: Chances and Challenges.
TL;DR: This succinct narrative review describes the application, limitations and possible future of AI-based dental diagnostics, treatment planning, and conduct, for example, image analysis, prediction making, record keeping, as well as dental research and discovery.
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