Torous John, Linardon Jake, Goldberg Simon B, Sun Shufang, Bell Imogen, Nicholas Jennifer, Hassan Lamiece, Hua Yining, Milton Alyssa, Firth Joseph
Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
SEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia.
World Psychiatry. 2025 Jun;24(2):156-174. doi: 10.1002/wps.21299.
The expanding domain of digital mental health is transitioning beyond traditional telehealth to incorporate smartphone apps, virtual reality, and generative artificial intelligence, including large language models. While industry setbacks and methodological critiques have highlighted gaps in evidence and challenges in scaling these technologies, emerging solutions rooted in co-design, rigorous evaluation, and implementation science offer promising pathways forward. This paper underscores the dual necessity of advancing the scientific foundations of digital mental health and increasing its real-world applicability through five themes. First, we discuss recent technological advances in digital phenotyping, virtual reality, and generative artificial intelligence. Progress in this latter area, specifically designed to create new outputs such as conversations and images, holds unique potential for the mental health field. Given the spread of smartphone apps, we then evaluate the evidence supporting their utility across various mental health contexts, including well-being, depression, anxiety, schizophrenia, eating disorders, and substance use disorders. This broad view of the field highlights the need for a new generation of more rigorous, placebo-controlled, and real-world studies. We subsequently explore engagement challenges that hamper all digital mental health tools, and propose solutions, including human support, digital navigators, just-in-time adaptive interventions, and personalized approaches. We then analyze implementation issues, emphasizing clinician engagement, service integration, and scalable delivery models. We finally consider the need to ensure that innovations work for all people and thus can bridge digital health disparities, reviewing the evidence on tailoring digital tools for historically marginalized populations and low- and middle-income countries. Regarding digital mental health innovations as tools to augment and extend care, we conclude that smartphone apps, virtual reality, and large language models can positively impact mental health care if deployed correctly.
数字心理健康领域不断拓展,正从传统远程医疗过渡到纳入智能手机应用程序、虚拟现实和生成式人工智能,包括大语言模型。尽管行业挫折和方法学批评凸显了证据方面的差距以及扩大这些技术规模时面临的挑战,但源自协同设计、严格评估和实施科学的新兴解决方案提供了充满希望的前进道路。本文通过五个主题强调了推进数字心理健康科学基础并提高其现实世界适用性的双重必要性。首先,我们讨论数字表型分析、虚拟现实和生成式人工智能方面的最新技术进展。后一领域的进展,特别是旨在创建对话和图像等新输出的进展,对心理健康领域具有独特潜力。鉴于智能手机应用程序的普及,我们接着评估支持其在各种心理健康情境(包括幸福感、抑郁症、焦虑症、精神分裂症、饮食失调和物质使用障碍)中效用的证据。对该领域的这种广泛审视凸显了开展新一代更严格、有安慰剂对照且基于现实世界的研究的必要性。我们随后探讨阻碍所有数字心理健康工具的参与挑战,并提出解决方案,包括人力支持、数字导航员、及时自适应干预和个性化方法。然后我们分析实施问题,强调临床医生的参与、服务整合和可扩展的交付模式。我们最后考虑确保创新适用于所有人从而能够弥合数字健康差距的必要性,回顾针对历史上被边缘化人群以及低收入和中等收入国家量身定制数字工具的证据。将数字心理健康创新视为增强和扩展护理的工具,我们得出结论,如果正确部署,智能手机应用程序、虚拟现实和大语言模型可以对心理健康护理产生积极影响。