Boulos Laura Joy, Mendes Alexandre, Delmas Alexandra, Chraibi Kaadoud Ikram
Saint-Joseph University, Beirut, Lebanon.
Groupe onepoint, Paris, France.
Front Psychiatry. 2021 Sep 23;12:574440. doi: 10.3389/fpsyt.2021.574440. eCollection 2021.
Artificial intelligence (AI) algorithms together with advances in data storage have recently made it possible to better characterize, predict, prevent, and treat a range of psychiatric illnesses. Amid the rapidly growing number of biological devices and the exponential accumulation of data in the mental health sector, the upcoming years are facing a need to homogenize research and development processes in academia as well as in the private sector and to centralize data into federalizing platforms. This has become even more important in light of the current global pandemic. Here, we propose an end-to-end methodology that optimizes and homogenizes digital research processes. Each step of the process is elaborated from project conception to knowledge extraction, with a focus on data analysis. The methodology is based on iterative processes, thus allowing an adaptation to the rate at which digital technologies evolve. The methodology also advocates for interdisciplinary (from mathematics to psychology) and intersectoral (from academia to the industry) collaborations to merge the gap between fundamental and applied research. We also pinpoint the ethical challenges and technical and human biases (from data recorded to the end user) associated with digital mental health. In conclusion, our work provides guidelines for upcoming digital mental health studies, which will accompany the translation of fundamental mental health research to digital technologies.
人工智能（AI）算法与数据存储技术的进步，最近使得更好地表征、预测、预防和治疗一系列精神疾病成为可能。在生物设备数量迅速增长以及心理健康领域数据呈指数级积累的背景下，未来几年需要统一学术界和私营部门的研发流程，并将数据集中到联邦化平台。鉴于当前的全球大流行，这一点变得更加重要。在此，我们提出一种端到端的方法，该方法可优化并统一数字研究流程。从项目构思到知识提取，详细阐述了该流程的每一步，重点是数据分析。该方法基于迭代过程，从而能够适应数字技术的发展速度。该方法还倡导跨学科（从数学到心理学）和跨部门（从学术界到行业）合作，以弥合基础研究与应用研究之间的差距。我们还指出了与数字心理健康相关的伦理挑战以及技术和人为偏见（从数据记录到最终用户）。总之，我们的工作为即将开展的数字心理健康研究提供了指导方针，这将伴随基础心理健康研究向数字技术的转化。
