Advancing pediatric care through OpenAI’s Sora

For children, therapeutic play—structured activities tailored to age, cognitive abilities, and health—alleviates health-related anxiety and improves outcomes. This study introduces Sora, a text-to-video artificial intelligence (AI) software, as a novel tool to enhance therapeutic play. Using Sora, w...

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Main Authors: Harishan Tharmaseelan, Matthew Shammas-Toma
Format: Article
Language:English
Published: SAGE Publishing 2025-04-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251339597
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author Harishan Tharmaseelan
Matthew Shammas-Toma
author_facet Harishan Tharmaseelan
Matthew Shammas-Toma
author_sort Harishan Tharmaseelan
collection DOAJ
description For children, therapeutic play—structured activities tailored to age, cognitive abilities, and health—alleviates health-related anxiety and improves outcomes. This study introduces Sora, a text-to-video artificial intelligence (AI) software, as a novel tool to enhance therapeutic play. Using Sora, we generated videos tailored to children's interests. The personalized videos were designed to foster emotional well-being and provide education for pediatric patients. We demonstrate Sora's versatility, as its videos can be tweaked to match a child's interests, preferences, and medical conditions. Videos for emotional support depict a teddy bear in playful outfits comfortably using an inhaler, a nebulizer, or an EpiPen. We also demonstrate Sora's educational potential with a video that uses a seesaw to illustrate diabetes management. Overall, this study represents the first application of text-to-video AI software in pediatrics. Through personalized child-like videos, Sora can foster a sense of comfort and engagement for children in hospital.
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institution Kabale University
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spelling doaj-art-644cbbabc2a040518573f51ec636e78d2025-08-20T03:52:24ZengSAGE PublishingDigital Health2055-20762025-04-011110.1177/20552076251339597Advancing pediatric care through OpenAI’s SoraHarishan Tharmaseelan0Matthew Shammas-Toma1 Li Ka Shing Knowledge Institute, , Toronto, ON, Canada Temerty Faculty of Medicine, , Toronto, ON, CanadaFor children, therapeutic play—structured activities tailored to age, cognitive abilities, and health—alleviates health-related anxiety and improves outcomes. This study introduces Sora, a text-to-video artificial intelligence (AI) software, as a novel tool to enhance therapeutic play. Using Sora, we generated videos tailored to children's interests. The personalized videos were designed to foster emotional well-being and provide education for pediatric patients. We demonstrate Sora's versatility, as its videos can be tweaked to match a child's interests, preferences, and medical conditions. Videos for emotional support depict a teddy bear in playful outfits comfortably using an inhaler, a nebulizer, or an EpiPen. We also demonstrate Sora's educational potential with a video that uses a seesaw to illustrate diabetes management. Overall, this study represents the first application of text-to-video AI software in pediatrics. Through personalized child-like videos, Sora can foster a sense of comfort and engagement for children in hospital.https://doi.org/10.1177/20552076251339597
spellingShingle Harishan Tharmaseelan
Matthew Shammas-Toma
Advancing pediatric care through OpenAI’s Sora
Digital Health
title Advancing pediatric care through OpenAI’s Sora
title_full Advancing pediatric care through OpenAI’s Sora
title_fullStr Advancing pediatric care through OpenAI’s Sora
title_full_unstemmed Advancing pediatric care through OpenAI’s Sora
title_short Advancing pediatric care through OpenAI’s Sora
title_sort advancing pediatric care through openai s sora
url https://doi.org/10.1177/20552076251339597
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