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Towards Trustworthy AI in Dentistry
Journal of Dental Research ( IF 7.6 ) Pub Date : 2022-06-23 , DOI: 10.1177/00220345221106086
J Ma 1 , L Schneider 2, 3 , S Lapuschkin 1 , R Achtibat 1 , M Duchrau 2 , J Krois 2, 3 , F Schwendicke 2, 3 , W Samek 1, 4
Affiliation  

Medical and dental artificial intelligence (AI) require the trust of both users and recipients of the AI to enhance implementation, acceptability, reach, and maintenance. Standardization is one strategy to generate such trust, with quality standards pushing for improvements in AI and reliable quality in a number of attributes. In the present brief review, we summarize ongoing activities from research and standardization that contribute to the trustworthiness of medical and, specifically, dental AI and discuss the role of standardization and some of its key elements. Furthermore, we discuss how explainable AI methods can support the development of trustworthy AI models in dentistry. In particular, we demonstrate the practical benefits of using explainable AI on the use case of caries prediction on near-infrared light transillumination images.



中文翻译:

迈向可信赖的牙科人工智能

医疗和牙科人工智能 (AI) 需要 AI 用户和接受者的信任,以增强实施、可接受性、覆盖范围和维护。标准化是产生这种信任的一种策略,质量标准推动了人工智能的改进和许多属性的可靠质量。在目前的简短回顾中,我们总结了正在进行的研究和标准化活动,这些活动有助于医疗,特别是牙科 AI 的可信赖性,并讨论标准化的作用及其一些关键要素。此外,我们还讨论了可解释的 AI 方法如何支持牙科领域中值得信赖的 AI 模型的开发。特别是,我们展示了在近红外光透照图像龋齿预测用例中使用可解释人工智能的实际好处。

更新日期:2022-06-23
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