Perspectives

In this Perspective, the authors discuss reframing digital mental health tools by transforming artificial intelligence into artificial wisdom.

This Perspective considers the impact of social anxiety disorder on adolescents within digital environments, proposing a revised framework that incorporates computer-mediated communication’s effects on social cue interpretation, self-perception, safety behaviors and event processing, highlighting future research and clinical implications.

In this Perspective, Hart et al. challenge recent NICE guidelines on suicide assessment, arguing that risk tools can promote health justice by prioritizing the worst-off and preventing indirect discrimination—especially for older adults.

In this Perspective, the authors outline four model-based approaches for analyzing eye-tracking data to investigate individual differences and psychiatric disorders.

Neuroscience research struggles to link neurobiological phenotypes with real-world mental health experiences, especially in youth. Here the authors challenge assumptions in functional neuroimaging studies, proposing alternative methods that reveal complex, individual-specific brain patterns, enhancing predictive models of psychiatric issues and advancing the understanding of adolescent mental health.

In this Perspective, the authors present rumination as a dynamic interpersonal process through the Dynamic Interpersonal Model of Rumination (DIM-Rum), integrating diverse findings to highlight feedback loops, thereby suggesting new avenues for intervention and methodological expansion in mental health studies.

This Perspective outlines P³, a transdiagnostic computational framework that uses smartphone-based behavioral and sensing data to estimate an individual’s precision profile across key predictive domains, offering a mechanistic foundation for more personalized and clinically meaningful precision psychiatry.

This Perspective proposes a framework that categorizes autism into type I and type II subtypes based on early developmental features. Utilizing machine learning, it identifies distinct neurobiological mechanisms for enhancing understanding and addressing heterogeneity in autism diagnoses and outcomes.

In this Perspective, the authors discuss chatbot interactions, highlighting potential risks of emotional dependence and mental health impacts, necessitating coordinated public health responses.

In this Perspective, the authors present a dynamical systems perspective to autism emphasizing a more person-focused view in autism research. This framework explains why group-average approaches are often inconclusive, thus underscoring the need for a transition to individual-level, non-Gaussian analytical techniques.

This Perspective study highlights the necessity for paradigm shifts in psychopathology research, emphasizing resourcefulness, coalition-building and outreach to enhance assessment, diagnosis and treatment methodologies within the field.

In this Perspective, the authors provide an overview of the four-level community-based intervention by the European Alliance Against Depression and highlight the need for improved public mental health care for depression and suicide risk.

This Perspective considers the addition of ACKR1 genetic testing for identifying ACKR1/DARC-associated neutropenia in patients receiving clozapine, recommending eligibility criteria and testing strategies while estimating substantial cost savings for the UK healthcare system and enhancing equitable treatment access.

In this Perspective, Last and Khazanov call for democratizing AI in behavioral healthcare, urging that service users, providers and the public—not private interests—shape its development and deployment.

In this Perspective, Williamson et al. argue for the integration of climate-aware competencies into mental health training to better prepare professionals for the challenges posed by the climate crisis.

In this Perspective, the authors examine a central challenge in neuropsychiatry: how to effectively compare and translate reward-guided behaviors across species.

In this Perspective, Singh et al. examine the growing role of patient and public participation, involvement and engagement in discovery science, highlighting the need for clearer guidance in the context of youth mental health research.

This Perspective presents the developmental origins of mental health and disorders (DOMHaD) framework, emphasizing genetic, environmental and epigenetic influences on psychiatric conditions. It highlights interactions over time, revealing pathways for understanding, preventing and treating these complex disorders effectively.

The authors of this Perspective discuss the impact of SSRIs on child development during maternal depression, addressing methodological challenges and emphasizing the necessity of considering various intersecting factors influencing perinatal mental health, treatment and developmental outcomes for offspring.

This Perspective challenges the traditional approaches to suicide prevention research, which are often rooted in studies from high-income countries. It advocates for culturally informed, community-based strategies, drawing on successful examples from the global south.