Background: COVID-19 has a profound impact on people with existing mental disorders, augmenting the prevailing inequalities in mental health. Methods: In order to understand the status of telepsychiatry in India and the role of artificial intelligence (AI) in mental health and its potential applications, a scoping review was done between March 2020 and May 2020. The literature review revealed 253 papers, which were used to derive the primary framework for analysis. The information was then reviewed for ideas and concepts, which were integrated with evidence from gray literature and categorized under broader themes based on the insights derived. Finally, a thematic framework was developed for discussion to tailor scientific information for decision-makers’ needs. Results: Review findings are summarized under the following headings: changing patterns of health-seeking behavior, origin and evolution of telepsychiatry, possible applications of telepsychiatry and AI, technological features, and AI models in mental health. Conclusions: Though there are several potential opportunities, the time is not yet ripe for telepsychiatry and AI to be adopted fully in the field of mental health care. But it is time that we develop indigenous proprietary technology and test and validate it. With many solutions offered by telepsychiatry and AI, psychiatrists must choose an appropriate tool based on their requirements, availability of resources, and feasibility of deployment. Harmony between conventional care and technology-based care must be reached gradually.

中文翻译：

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远程精神病学和人工智能在 COVID-19 后印度心理健康中的作用：机会范围界定审查

背景：COVID-19 对现有精神障碍患者产生深远影响，加剧了普遍存在的心理健康不平等现象。方法：为了了解印度远程精神病学的现状以及人工智能（AI）在心理健康中的作用及其潜在应用，我们在 2020 年 3 月至 2020 年 5 月之间进行了范围界定审查。文献审查发现了 253 篇论文，其中用于得出分析的主要框架。然后对这些信息进行思想和概念审查，将其与灰色文献中的证据相结合，并根据得出的见解将其分类为更广泛的主题。最后，制定了一个用于讨论的主题框架，以便根据决策者的需求定制科学信息。结果：综述结果总结为以下几个标题：寻求健康行为模式的变化、远程精神病学的起源和演变、远程精神病学和人工智能的可能应用、技术特征以及心理健康中的人工智能模型。结论：虽然存在一些潜在的机会，但远程精神病学和人工智能在精神卫生保健领域全面采用的时机尚未成熟。但现在是我们开发本土专有技术并对其进行测试和验证的时候了。远程精神病学和人工智能提供了许多解决方案，精神科医生必须根据自己的要求、资源可用性和部署可行性来选择合适的工具。传统护理与技术护理之间的和谐必须逐步实现。