人工智能在龋齿诊断中的应用:系统回顾与荟萃分析

Vanessa Gallego Arias Pecorari, Laís Renata Almeida Cezário, Caio Vieira de Barros Arato, Tainá de Lima Costa, Karine Laura Cortellazzi, Roberto Fiório Pecorari, José Erasmo Silva
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引用次数: 0

摘要

背景 人工智能(AI)在医疗保健领域有许多应用。在巴西,龋齿的发病率超过 50%。龋齿的诊断通常基于临床检查和 X 射线等辅助检查。诊断测试的准确性是通过其灵敏度、特异性和准确性来评估的。各种算法和神经网络配置正被用于龋齿诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use of artificial intelligence in the diagnosis of carious lesions: Systematic review and meta-analysis
Background The use of Artificial Intelligence (AI) has many applications in the healthcare field. Dental caries is a disease with a prevalence rate of over 50% in Brazil. The diagnosis of caries is usually based on a clinical examination and supplementary tests such as X-rays. The accuracy of a diagnostic test is evaluated by its sensitivity, specificity, and accuracy. Various algorithms and neural network configurations are being used for caries diagnosis.
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