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This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (1298) Web-based and Mobile Health Interventions (5694) Behavioural Surveillance for Public Health (479) Artificial Intelligence (4483) Mobile Health Technology and Digital Platforms for Public Health (85) Psychological, Behavioral, Social, and/or Cultural Experiments and Interventions (149)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73773, first published .
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Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Authors of this article:

Trevor van Mierlo1 Author Orcid Image ;   Rachel Fournier1 Author Orcid Image ;   Siu Kit Yeung2 Author Orcid Image ;   Sofiia Lahutina3 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics Author Video

Journals

  1. van Mierlo T. From Efficacy to Scale: Addressing Digital Health’s Original Sin. Journal of Medical Internet Research 2025;27:e85878 View
  2. Martinho D, Sobreiro P, Domingues A, Martinho F, Nogueira N. Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model. Healthcare 2026;14(3):287 View
  3. Chen S, Vermol V, Yu J, Jiang H. Immersive metaverse art as a psychological intervention for depression and anxiety: a narrative review and multilevel model integrating engagement, cultural identity, and neurocognitive mechanisms. Frontiers in Psychology 2026;17 View