Technology matters: AI ‐driven tools in children's mental healthcare: perspectives from young people and parents
Year: 2025
Type: article
Abstract: Artificial intelligence may be able to improve the efficiency, accuracy and predictiveness of mental health assessments, and public perspectives are crucial to ensuring these tools are implemented with fairness and accountability. We developed an artificial intelligence-driven tool to automatically analyse parents' speech data, which if successful could be implemented in children and young people's mental health assessments. To engage stakeholders with this project, we worked with a science fiction writer to produce two stories about possible futures of our tool, which we discussed in workshops with young people and parents. Here, we summarise key themes arising from this novel method of engaging the public in mental health research, and highlight considerations for clinicians and researchers creating novel technologies for children and young people's mental healthcare.
DOI: 10.1111/camh.70045
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,520
Funders: Psychiatry Research Trust, National Institute for Health and Care Research, King's College London, NIHR Maudsley Biomedical Research Centre, Medical Research Council, Economic and Social Research Council, Menzies Centre for Australian Studies, King's College London, University of London, UCLH Biomedical Research Centre
Awards: The longitudinal association between school performance trajectories and offending behaviour, Centre for Society and Mental Health, Remote Extra-clinic Monitoring of ADHD In the NHS (REMAIN) Study, The automated coding of expressed emotion to enhance clinical and epidemiological mental health research in adolescence
OpenAlex ID: W4416156299