Qual o estado da arte da Inteligência Artifical (IA) na radiologia odontológica? Uma revisão sistemática

Abstract

Artificial intelligence (AI) is defined as the ability to imitate brain function. It is a tech- nology that uses machine learning (ML), learning representation and deep learning. In addition, they use improved algorithms to "know" resources of a large volume of health data and then contribute to clinical activity, providing a faster, more accurate result, thus reducing diagnostic errors. The objective of this work is to discuss, through a systematic review on the state of the art in artificial intelligence in dental radiology addressing issues related to diagnosis, ad- vantages and disadvantages. In the present study three stages were followed: defining the ob- jective, tracing the search method (PICO), performing and identifying the literature, selecting articles, extracting data. In the search for evidence the databases consulted were: MEDLINE, PubMed, BBO, LILACS, BIREME, Google academic, and COCHRANE using the following Boolean operators: Deep Learning, Machine Learning, Radiology, Oral, Dental, Dentistry. With the research strategy used, 800 articles were found, following the eligibility criteria, 730 abstracts were analyzed, 740 abstracts excluded from the study, 11 full texts and 10 studies included in the study. It was concluded that, the studies evaluated presented high performance in the results, showing quite efficient and beneficial to the patient.