Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Dentistry (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11282-022-00660-9.pdf
Reference90 articles.
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2. Khanagar SB, Al-ehaideb A, Maganur PC, Vishwanathaiah S, Patil S, Baeshen HA, et al. Developments, application, and performance of artificial intelligence in dentistry—a systematic review. J Dent Sci. 2021;16:508–22. https://doi.org/10.1016/j.jds.2020.06.019.
3. Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nat Rev Cancer. 2018;18:500. https://doi.org/10.1038/S41568-018-0016-5.
4. Hung K, Montalvao C, Tanaka R, Kawai T, Bornstein MM. The use and performance of artificial intelligence applications in dental and maxillofacial radiology: a systematic review. Dentomaxillofac Radiol. 2020. https://doi.org/10.1259/DMFR.20190107.
5. Scarfe WC, Angelopoulos C. Maxillofacial cone beam computed tomography: principles, techniques and clinical applications. Springer International Publishing; 2018. https://doi.org/10.1007/978-3-319-62061-9/COVER.
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