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01 · ABSTRACT

Abstract

The advancement of digital mental health technologies offers transformative possibilities for increasing access to psychological support while presenting unique challenges in engagement and efficacy. This paper explores the integration of Awareness Integration Theory—a structured, evidence-based psychological model—into artificial intelligence-powered mental health platforms. Awareness Integration Theory facilitates self-awareness, emotional regulation, and cognitive restructuring, contributing to reported improvements of 60 to 70 percent across multiple areas of life functioning. One prominent application of this integration is the Foojan mental wellness app, which combines the principles of Awareness Integration Theory with advanced artificial intelligence to provide personalized, accessible mental health support. The app includes features such as guided journaling and real-time tools for managing emotions, thoughts, and behaviors. Central to the platform is MIRA, a hybrid virtual coach driven by artificial intelligence that responds to users’ daily concerns and provides practical mental health skills. Preliminary data suggest that this approach enhances mental well-being and may serve as a valuable adjunct to traditional psychotherapy by maintaining engagement and continuity between sessions. While the results are promising, challenges such as user retention, therapeutic alliance in digital settings, and data security remain critical considerations. This paper presents strategies to address these barriers and optimize the reach and effectiveness of digitally delivered interventions. By integrating Awareness Integration Theory with artificial intelligence technologies, this platform represents a significant step toward scalable, evidence-based, and continuous mental healthcare. It holds the potential to improve mental health outcomes globally by making support tools more available, responsive, and individualized.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 13 No 5 (2025): Vol.13, Issue 5, May 2025
SectionResearch Articles
Published30 May 2025
DOI10.18103/mra.v13i5.6513
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

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