Current progress in the artificial intelligence domain has led to the development of various types of AI-powered dementia assessments, which can be employed to identify patients at the early stage of dementia. It can revolutionize the dementia care settings. It is essential that the medical community be aware of various AI assessments and choose them considering their degrees of validity, efficiency, practicality, reliability, and accuracy concerning the early identification of patients with dementia (PwD). On the other hand, AI developers should be informed about various non-AI assessments as well as recently developed AI assessments. Thus, this paper, which can be readable by both clinicians and AI engineers, fills the gap in the literature in explaining the existing solutions for the recognition of dementia to clinicians, as well as the techniques used and the most widespread dementia datasets to AI engineers. It follows a review of papers on AI and non-AI assessments for dementia to provide valuable information about various dementia assessments for both the AI and medical communities. The discussion and conclusion highlight the most prominent research directions and the maturity of existing solutions.

翻译：人工智能领域的当前进展已催生出多种基于AI的痴呆评估方法，可用于识别处于痴呆早期阶段的患者，这将彻底改变痴呆护理模式。医疗界必须了解各类AI评估方法，并考虑其在早期识别痴呆患者（PwD）方面的效度、效率、实用性、信度和准确度进行选择。另一方面，AI开发者应同时了解非AI评估方法及最新开发的AI评估技术。因此，本文兼顾临床医生与AI工程师的阅读需求，系统阐释现有痴呆识别解决方案、相关技术方法及最广泛使用的痴呆数据集，填补了现有文献空白。通过综述AI与非AI痴呆评估论文，本文为AI领域和医学界提供了关于各类痴呆评估方法的宝贵信息。讨论与结论部分重点指出了最具前景的研究方向及现有解决方案的成熟度。