Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.

ABSTRACT:

Background

As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and delivering patient care. However, there is limited research on mental health practitioners' understanding, familiarity, and adoption intentions regarding these AI technologies. We, therefore, examined to what extent practitioners' characteristics are associated with their learning and use intentions of AI technologies in four application domains (diagnostics, treatment, feedback, and practice management). These characteristics include medical AI readiness with its subdimensions, AI anxiety with its subdimensions, technology self-efficacy, affinity for te

SUBMITTER: Cecil J 

PROVIDER: S-EPMC12001504 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature