Adoption of Artificial Intelligence–Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study - Report - MDSpire

Adoption of Artificial Intelligence–Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study

  • By

  • Sara Noheda

  • Eduar S Ramírez

  • Sara Rodriguez-Moreno

  • Carolina Martín-Azañedo

  • Ana Georgescu

  • Pablo Roca

  • July 3, 2026

  • 0 min

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Integration of AI-Driven Precision Mental Health Solutions Among Psychology Students

Background

The global prevalence of mental disorders is rising, with significant implications for mental health care systems. Traditional therapeutic approaches have seen little improvement in effectiveness over the past decades, and many individuals do not receive necessary treatment.

Data Highlights

No numerical or trial data is provided in the source material.

Key Findings

  • One in two individuals will develop a mental disorder at some point in their lives.
  • Only one-third of treated patients achieve full remission from mental disorders.
  • Structural barriers such as long waiting lists and a shortage of professionals hinder treatment access.
  • AI technologies can support measurement-based care and personalized interventions in mental health.
  • Digital mental health interventions are particularly promising for younger populations.

Clinical Implications

Mental health professionals may consider leveraging AI technologies to better meet the needs of their patients.

Conclusion

The integration of AI-driven precision mental health solutions could lead to more effective and personalized care.

Related Resources & Content

  1. McGrath JJ et al., Lancet Psychiatry, 2023 -- Age of onset and cumulative risk of mental disorders: a cross-national analysis of population surveys from 29 countries
  2. Weisz JR et al., Am Psychol, 2017 -- What five decades of research tells us about the effects of youth psychological therapy: a multilevel meta-analysis and implications for science and practice
  3. Cuijpers P et al., World Psychiatry, 2016 -- How effective are cognitive behavior therapies for major depression and anxiety disorders? A meta-analytic update of the evidence
  4. Alonso J et al., Depress Anxiety, 2018 -- Treatment gap for anxiety disorders is global: results of the World Mental Health Surveys in 21 countries
  5. Dehbozorgi R et al., BMC Psychiatry, 2025 -- The application of artificial intelligence in the field of mental health: a systematic review
  6. Frontiers in Psychiatry — Platform shift in mental health support among undergraduates: from campus counselors to GenAI-based consultation​
  7. Frontiers in Psychiatry — A generative two-stage semantic intermediary framework for explainable mental health early warning in higher education
  8. npj Digital Medicine — Assessing Youth Mental Health Needs Through an Adaptive Digital Tool: Findings from a Cross-Sectional Analysis
  9. Journal of Medical Internet Research (JMIR) — Acceptability and Preliminary Evaluation of a Campus-Integrated Digital Platform (Fruto) for University Students’ Mental Health Help-Seeking: Sequential Mixed Methods Study
  10. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
  11. Clinical Decision Support Software | FDA
  12. Ethical guidance for AI in the professional practice of health service psychology
  13. Artificial Intelligence in Software as a Medical Device | FDA
  14. Overview | Evidence standards framework for digital health technologies | Guidance | NICE
  15. Systematic review and meta analysis of chatbots in the management of depressive and anxiety symptoms | npj Digital Medicine
  16. Journal of Medical Internet Research - Efficacy, User Engagement, and Acceptability of Cognitive Behavioral Therapy–Oriented Psychological Chatbots for Adults With Depressive and/or Anxiety Symptoms: Systematic Review and Meta-Analysis of Randomized Controlled Trials
  17. Randomized Trial of a Generative AI Chatbot for Mental Health Treatment | NEJM AI
  18. Datapoint: What psychologists are saying about using AI in practice

Original Source(s)

Adoption of Artificial Intelligence–Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study

  • by Sara Noheda, Eduar S Ramírez, Sara Rodriguez-Moreno, Carolina Martín-Azañedo, Ana Georgescu, Pablo Roca

  • July 3, 2026

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