{
  "abstract": "Randomized evidence for purpose-built generative AI mental health support remains limited. In this preregistered trial, 1,137 unscreened university students were assigned to 6 weeks of a generative AI-powered mobile intervention (“Flourish”) or care as usual. Across the full sample, Flourish produced more favorable trajectories for perceived stress (β = −0.03, p = 0.010), depressive symptoms (β = −0.03, p = 0.006), and anxiety symptoms (β = −0.04, p = 0.001). Among participants with lower baseline symptoms, Flourish buffered deterioration; among those with elevated symptoms, improvements were larger with Flourish for depression (d = 1.03 vs 0.56) and anxiety (d = 0.91 vs 0.60), with meaningful improvement in 52.3% vs 31.7% and 50.6% vs 38.1%, respectively. Reduced perceived stress emerged as a potential pathway to symptom improvement. To our knowledge, this is the first trial supporting purpose-built, safety-first generative AI for mental health prevention and early intervention in an unscreened population.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Julie Youko Anne Cachia"
    },
    {
      "name": "Xuan Zhao"
    },
    {
      "name": "Wenxi Pu"
    },
    {
      "name": "Chi Liao"
    },
    {
      "name": "merel keijsers"
    },
    {
      "name": "Julian De Freitas"
    },
    {
      "name": "Rebecca Fortgang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/35fdmyjs0m37g.bib",
  "cited_by": 0,
  "doi": "10.31234/osf.io/nwz9q_v8",
  "fulltext_url": null,
  "id": "35fdmyjs0m37g",
  "issns": [],
  "landing_url": "https://osf.io/preprints/psyarxiv/nwz9q_v8/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Anxiety Disorders"
    ],
    [
      "bepress",
      "Clinical Psychology"
    ],
    [
      "bepress",
      "Depressive Disorders"
    ],
    [
      "bepress",
      "Health Psychology"
    ],
    [
      "bepress",
      "Intervention Research"
    ],
    [
      "bepress",
      "Interventions"
    ],
    [
      "bepress",
      "Mental Health"
    ],
    [
      "bepress",
      "Social and Behavioral Sciences"
    ],
    [
      "bepress",
      "Social and Personality Psychology"
    ],
    [
      "bepress",
      "Well-being"
    ],
    [
      "openalex",
      "3202|Digital Mental Health Interventions"
    ]
  ],
  "openalex": "W7223222630",
  "pdf_url": "https://osf.io/nwz9q/download",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/35fdmyjs0m37g.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:40Z",
      "native_id": "nwz9q",
      "source": "osf",
      "url": "https://osf.io/preprints/psyarxiv/nwz9q_v6/"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "bepress:Clinical Psychology",
      "subfield": "psychiatry"
    }
  ],
  "title": "AI-Powered Prevention and Early Intervention for Stress, Depression, and Anxiety: A Randomized Clinical Trial",
  "title_text": "AI-Powered Prevention and Early Intervention for Stress, Depression, and Anxiety: A Randomized Clinical Trial",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:37Z",
  "url": "https://research.draconitic.com/paper/35fdmyjs0m37g",
  "venue": "PsyArXiv",
  "versions": []
}