Early detection is the key to successfully tackling dementia, a neurocognitive condition common among the elderly. Therefore, screening using technological platforms such as mobile applications (apps) may provide an important opportunity to speed up the diagnosis process and improve accessibility. Due to the lack of research into dementia diagnosis and screening tools based on mobile apps, this systematic review aims to identify the available mobile-based dementia and mild cognitive impairment (MCI) apps using specific inclusion and exclusion criteria. More importantly, we critically analyse these tools in terms of their comprehensiveness, validity, performance, and the use of artificial intelligence (AI) techniques. The research findings suggest diagnosticians in a clinical setting use dementia screening apps such as ALZ and CognitiveExams since they cover most of the domains for the diagnosis of neurocognitive disorders. Further, apps such as Cognity and ACE-Mobile have great potential as they use machine learning (ML) and AI techniques, thus improving the accuracy of the outcome and the efficiency of the screening process. Lastly, there was overlapping among the dementia screening apps in terms of activities and questions they contain therefore mapping these apps to the designated cognitive domains is a challenging task, which has been done in this research.

早期发现是成功解决痴呆症（老年人常见的一种神经认知疾病）的关键。因此，使用诸如移动应用程序（apps）之类的技术平台进行筛查可能会提供重要的机会，以加快诊断过程并改善可访问性。由于缺乏对基于移动应用程序的痴呆症诊断和筛查工具的研究，因此，本系统综述旨在使用特定的纳入和排除标准来识别可用的基于移动设备的痴呆症和轻度认知障碍（MCI）应用程序。更重要的是，我们从工具的全面性，有效性，性能以及人工智能（AI）技术的使用方面对这些工具进行了严格的分析。研究发现表明，临床医生可以使用痴呆症筛查应用程序，例如ALZ和CognitiveExams，因为它们涵盖了神经认知障碍诊断的大部分领域。此外，诸如Cognity和ACE-Mobile之类的应用程序具有巨大的潜力，因为它们使用了机器学习（ML）和AI技术，从而提高了结果的准确性和筛选过程的效率。最后，痴呆症筛查应用程序在活动和问题方面存在重叠，因此将这些应用程序映射到指定的认知域是一项艰巨的任务，这项研究已经完成。因此提高了结果的准确性和筛选过程的效率。最后，痴呆症筛查应用程序在活动和问题方面存在重叠，因此将这些应用程序映射到指定的认知域是一项艰巨的任务，这项研究已经完成。因此提高了结果的准确性和筛选过程的效率。最后，痴呆症筛查应用程序在活动和问题方面存在重叠，因此将这些应用程序映射到指定的认知域是一项艰巨的任务，这项研究已经完成。