Journal of Biomedical informatics ( IF 4.0 ) Pub Date : 2020-12-02 , DOI: 10.1016/j.jbi.2020.103632 Moisés R Pacheco-Lorenzo 1 , Sonia M Valladares-Rodríguez 1 , Luis E Anido-Rifón 1 , Manuel J Fernández-Iglesias 1
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Objective:
To determine whether smart conversational agents can be used for detection of neuropsychiatric disorders. Therefore, we reviewed the technologies used, targeted mental disorders and validation procedures of relevant proposals in this field.
Methods:
We searched Scopus, PubMed, Pro-Quest, IEEE Xplore, Web of Science, CINAHL and the Cochrane Library using a predefined search strategy. Studies were included if they focused on neuropsychiatric disorders and involved conversational data for detection and diagnosis. They were assessed for eligibility by independent reviewers and ultimately included if a consensus was reached about their relevance.
Results:
2356 references were initially retrieved. Eventually, articles -referring smart conversational agents- met the inclusion criteria. Out of the selected studies, are targeted at neurocognitive disorders, at depression and 3 at other conditions. They apply diverse technological solutions and analysis techniques ( use Artificial Intelligence), and they usually rely on gold standard tests for criterion validity assessment. Acceptability, reliability and other aspects of validity were rarely addressed.
Conclusion:
The use of smart conversational agents for the detection of neuropsychiatric disorders is an emerging and promising field of research, with a broad coverage of mental disorders and extended use of AI. However, the few published studies did not undergo robust psychometric validation processes. Future research in this field would benefit from more rigorous validation mechanisms and standardized software and hardware platforms.
中文翻译：
用于检测神经精神疾病的智能对话剂：系统综述
目的：
确定是否可以将智能对话代理程序用于神经精神疾病的检测。因此，我们回顾了该领域使用的技术，针对性的精神障碍以及相关提案的验证程序。
方法：
我们使用预定义的搜索策略搜索了Scopus，PubMed，Pro-Quest，IEEE Xplore，Web of Science，CINAHL和Cochrane库。如果研究的重点是神经精神疾病并涉及对话数据以进行检测和诊断，则将其包括在内。他们由独立审核者评估是否合格，如果相关性达成共识，则最终将其包括在内。
结果：
最初检索到2356个引用。最终，引用智能对话代理的文章满足了纳入标准。在选定的研究中，针对神经认知障碍，抑郁症和其他情况的3。他们采用了多种技术解决方案和分析技术（使用人工智能），并且通常依靠金标准测试来进行标准有效性评估。可接受性，可靠性和有效性的其他方面很少涉及。
结论：
使用智能会话代理检测神经精神疾病是一个新兴且有前途的研究领域，广泛涉及精神疾病和AI的广泛使用。但是，很少有已发表的研究没有进行健全的心理计量学验证过程。该领域未来的研究将受益于更严格的验证机制以及标准化的软件和硬件平台。
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