The state of art of Artifical Intelligence (AI) in dental radiology: a systematic review
DOI:
https://doi.org/10.21270/archi.v10i7.5069Keywords:
Artificial intelligence, Learning, Machine Learning, RadiologyAbstract
Introduction: Artificial intelligence (AI) is the ability to imitate brain function. It is a technology that uses machine learning, artificial neural networks and deep learning. In addition, they use improved algorithms to “know” resources from a large volume of health data to contribute to clinical activity, providing a faster and more accurate result, thus reducing diagnostic errors. Aim: The aim of this systematic review is to discuss the state of the art in artificial intelligence in Dental Radiology. Material and method: In the search for evidence, the MEDLINE, PubMed, BBO, LILACS, BIREME, Google Scholar, and COCHRANE databases were consulted, using the PICOS strategy. The entire evaluation and selection process was carried out by two independent examiners. Results: 878 articles were found, following the eligibility criteria, the titles and abstracts were analyzed and 778 abstracts were excluded from the study, 10 full texts, and finally 10 studies were included in the work.Conclusion: It was concluded that the results obtained confirm that both deep learning and machine and artificial neural network learning are a precursor field that show encouraging results, mainly for the relevant assistance provided to inexperienced professionals and for providing a more accurate and quick diagnosis. . The artificial intelligence associated with dental radiology shows the optimization of time, precision diagnostic, elaboration of personalized treatments and prediction of treatment effectiveness, characteristics that contribute to better quality of care and, therefore, another aid tool for radiology professionals.
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