Fosso Wamba Samuel, Queiroz Maciel M
Information, Operations and Management Sciences, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France.
Paulista University - UNIP, Postgraduate Program in Business Administration, Dr. Bacelar Street 1212, 04026-002 Sao Paulo, Brazil.
Inf Syst Front. 2021 May 15:1-16. doi: 10.1007/s10796-021-10142-8.
With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented levels. However, a holistic view of how AI is being used for digital health remains scarce. Besides, there is a considerable lack of studies on responsible AI and ethical issues that identify and suggest practitioners' essential insights towards the digital health domain. Therefore, we aim to rely on a bibliometric approach to explore the dynamics of the interplay between AI and digital health approaches, considering the responsible AI and ethical aspects of scientific production over the years. We found four distinct periods in the publication dynamics and the most popular approaches of AI in the healthcare field. Also, we highlighted the main trends and insightful directions for scholars and practitioners. In terms of contributions, this work provides a framework integrating AI technologies approaches and applications while discussing several barriers and benefits of AI-based health. In addition, five insightful propositions emerged as a result of the main findings. Thus, this study's originality is regarding the new framework and the propositions considering responsible AI and ethical issues on digital health.
随着人工智能（AI）等前沿技术的飞速发展，医疗保健系统正在转型并朝着更多数字健康方向转变。近年来，科研成果达到了前所未有的水平。然而，对于人工智能如何用于数字健康的整体看法仍然匮乏。此外，关于负责任的人工智能以及识别并向从业者提出对数字健康领域的基本见解的伦理问题的研究相当缺乏。因此，我们旨在依靠文献计量学方法来探索人工智能与数字健康方法之间相互作用的动态情况，同时考虑多年来科研成果中负责任的人工智能和伦理方面。我们在出版动态中发现了四个不同时期以及医疗保健领域中人工智能最流行的方法。此外，我们突出了学者和从业者的主要趋势和有见地的方向。在贡献方面，这项工作提供了一个整合人工智能技术方法和应用的框架，同时讨论了基于人工智能的健康的若干障碍和益处。此外，主要研究结果产生了五个有见地的命题。因此，本研究的新颖之处在于考虑数字健康中负责任的人工智能和伦理问题的新框架和命题。
