ArticleJournal of Zhejiang University. Science. B2026
Digital mental health: innovations in assessment and intervention.
Article in Journal of Zhejiang University. Science. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Depression and anxiety together are ranked among the leading causes of disability, affecting hundreds of millions of individuals worldwide (GBD 2019 Mental Disorders Collaborators, 2022). Yet, psychiatric care faces persistent structural barriers: limited specialist availability, geographic inequities, diagnostic subjectivity, and the stigma that deters help-seeking behaviors (Patel et al., 2018). Digital technologies, including mobile health platforms, internet-delivered interventions, and artificial intelligence (AI)-driven analytic tools, are beginning to address these constraints by extending the reach and scalability of mental health services (Graham et al., 2019; Torous et al., 2021). This transition was accelerated by the coronavirus disease 2019 (COVID-19) pandemic, as clinicians worldwide adopted remote assessment and teletherapy out of necessity (Wind et al., 2020). The promise of these tools, however, goes beyond crisis response: it not only enables population-level screening but also provides new forms of therapeutic engagement and the discovery of objective diagnostic biomarkers.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.