Noheda, SaraRamírez Riveros, EduarRodríguez Moreno, SaraMartin Azañedo, CarolinaGeorgescu, AnaRoca, Pablo2026-07-062026-07-062026Noheda, S., Ramírez, E. S., Rodriguez-Moreno, S., Martín-Azañedo, C., Georgescu, A., & Roca, P. (2026). Adoption of artificial intelligence–based precision mental health technologies among psychology trainees: Mixed methods cross-sectional survey study. Journal of Medical Internet Research, 28, e93893-e93893. https://doi.org/10.2196/938931438-887https://hdl.handle.net/11268/17253Despite the significant benefits of artificial intelligence (AI) in mental health, real-world implementation remains limited, making it essential to understand the factors that influence adoption. Findings suggest a layered framework that may inform future implementation research and training program design, addressing (1) predisposing dispositional and emotional profiles; (2) precipitating fear and perceived risk via transparent regulation, explainable design, and policies that strengthen professional agency; and (3) maintenance through high-quality early experiences, usability, and sustained institutional support. This theory-guided model clarifies how psychological, contextual, and experiential factors jointly shape adoption and sustained use of AI-PMHTs among psychologists in training, informing targeted educational and implementation strategies for this population.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Psicologíajournal article10.2196/93893open accessCiencias médicasPsicologíaInteligencia artificialGoal 3: Ensure healthy lives and promote well-being for all at all agesGoal 4: Quality educationGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation