Pediatric kidney transplant recipients often face major psychosocial challenges that are difficult to address with existing tools. This study evaluates whether clinically supervised AI can generate personalized, age-adapted therapeutic stories for these children and their families.
Pediatric kidney transplant recipients face substantial psychosocial challenges, including anxiety, fear, difficulty understanding complex medical experiences, and challenges returning to school and social life. Therapeutic storytelling may help children process these experiences, but truly personalized stories are difficult to produce manually at scale. Large language models offer the opportunity to generate age-adapted, personalized, and clinically supervised stories. This study aims to develop and evaluate an AI-assisted storytelling workflow for pediatric kidney recipients and their families.
Study Type
OBSERVATIONAL
Enrollment
100
A story generated by artificial intelligence is created and personalized for pediatric kidney recipient
This is a minimal-risk observational study. Families complete a questionnaire and receive an AI-generated, clinically supervised personalized story. During the pilot phase, there is no direct child-AI interaction. All stories are reviewed by the clinical lead before delivery.
Necker hospital
Paris, Île-de-France Region, France
RECRUITINGChild and family experience of the story after delivery.
Child and family experience of the story, assessed through qualitative feedback, thematic analysis, and satisfaction ratings collected after story delivery.
Time frame: One month after story delivery
Child and family experience of the story after delivery.
Child and family experience of the story, assessed through qualitative feedback, thematic analysis, and satisfaction ratings collected after story delivery.
Time frame: One month after the story is delivered
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