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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.