Field |
Value |
Language |
dc.contributor.author |
Dray, J
https://orcid.org/0000-0003-4613-2634
|
|
dc.contributor.author |
Symons, D |
|
dc.date.accessioned |
2025-04-28T01:04:38Z |
|
dc.date.available |
2025-04-28T01:04:38Z |
|
dc.identifier.citation |
Current Developmental Disorders Reports, 12, (1), pp. 13 |
|
dc.identifier.issn |
2196-2987 |
|
dc.identifier.issn |
2196-2987 |
|
dc.identifier.uri |
http://hdl.handle.net/10453/187076
|
|
dc.description.abstract |
<jats:title>Abstract</jats:title>
<jats:sec>
<jats:title>Purpose of Review</jats:title>
<jats:p>Digital technologies, particularly Generative AI (GenAI), offer transformative potential to better support children and young people with mental health conditions. This rapid review evaluated GenAI’s application and the role of co-design in supporting mental health of children and young people.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Recent Findings</jats:title>
<jats:p>Nine studies were included. Studies used a range of GenAI technologies, such as conversational agents and therapeutic simulations, to enhance engagement and personalisation in mental health care for young people. Co-design approaches, involving workshops, focus groups, and iterative feedback were variously used in the studies.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Summary</jats:title>
<jats:p>This review highlights the transformative potential of GenAI in delivering engaging and tailored mental health support for children and young people. However, rigorous evaluation of long-term impact and scalability is needed. Integration of GenAI tools into human-led care, safeguards, and ethical frameworks also remain critical areas of future research to ensure privacy, clinical standards, and trust in digital mental health solutions.</jats:p>
</jats:sec> |
|
dc.language |
en |
|
dc.publisher |
Springer Nature |
|
dc.relation |
University of Technology Sydney |
|
dc.relation.ispartof |
Current Developmental Disorders Reports |
|
dc.relation.isbasedon |
10.1007/s40474-025-00328-z |
|
dc.rights |
info:eu-repo/semantics/openAccess |
|
dc.subject.classification |
5201 Applied and developmental psychology |
|
dc.subject.classification |
5202 Biological psychology |
|
dc.subject.classification |
5203 Clinical and health psychology |
|
dc.title |
Review of Innovative Mental Health Support for Children and Young People: Generative AI Co-design Applications and Challenges |
|
dc.type |
Journal Article |
|
utslib.citation.volume |
12 |
|
pubs.organisational-group |
University of Technology Sydney |
|
pubs.organisational-group |
University of Technology Sydney/Faculty of Health |
|
pubs.organisational-group |
University of Technology Sydney/Faculty of Health/Graduate School of Health |
|
pubs.organisational-group |
University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Speech Pathology |
|
pubs.organisational-group |
University of Technology Sydney/UTS Groups |
|
pubs.organisational-group |
University of Technology Sydney/UTS Groups/INSIGHT: Institute for Innovative Solutions for Wellbeing and Health |
|
pubs.organisational-group |
University of Technology Sydney/UTS Groups/The Trustworthy Digital Society |
|
utslib.copyright.status |
open_access |
* |
dc.rights.license |
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ |
|
dc.date.updated |
2025-04-28T01:04:36Z |
|
pubs.issue |
1 |
|
pubs.publication-status |
Published online |
|
pubs.volume |
12 |
|
utslib.citation.issue |
1 |
|