Responsible AI is concerned with the design, implementation and use of ethical, transparent, and accountable AI technology in order to reduce biases, promote fairness, equality, and to help facilitate interpretability and explainability of outcomes, which are particularly pertinent in a healthcare context. However, the extant literature on health AI reveals significant issues regarding each of the areas of responsible AI, posing moral and ethical consequences. This is particularly concerning in a health context where lives are at stake and where there are significant sensitivities that are not as pertinent in other domains outside of health. This calls for a comprehensive analysis of health AI using responsible AI concepts as a structural lens. A systematic literature review supported our data collection and sampling procedure, the corresponding analysis, and extraction of research themes helped us provide an evidence-based foundation. We contribute with a systematic description and explanation of the intellectual structure of Responsible AI in digital health and develop an agenda for future research.

负责任的人工智能关注道德、透明和负责任的人工智能技术的设计、实施和使用，以减少偏见，促进公平、平等，并帮助促进结果的可解释性和可解释性，这在医疗保健环境中尤为重要。然而，现有的关于健康人工智能的文献揭示了关于负责任人工智能的每个领域的重大问题，造成了道德和伦理后果。在生命受到威胁并且存在与健康以外的其他领域不相关的重大敏感性的健康环境中，这一点尤其令人担忧。这需要使用负责任的人工智能概念作为结构镜头对健康人工智能进行全面分析。系统的文献综述支持我们的数据收集和抽样程序，相应的分析和研究主题的提取帮助我们提供了一个循证基础。我们对负责任的人工智能在数字健康领域的知识结构进行了系统的描述和解释，并为未来的研究制定了议程。