Advancing pediatric care through OpenAI's Sora

Area of Science:

• Pediatric Healthcare Technology
• Artificial Intelligence in Medicine
• Child Psychology

Background:

• Therapeutic play is crucial for alleviating health-related anxiety in children.
• Existing therapeutic play methods can be enhanced with novel technological tools.
• Personalized interventions improve pediatric patient engagement and outcomes.

Purpose of the Study:

• To introduce Sora, a text-to-video artificial intelligence (AI) software, as a novel tool for enhancing therapeutic play in pediatrics.
• To demonstrate the potential of AI-generated personalized videos for pediatric patient education and emotional support.
• To explore the versatility of AI in tailoring content to individual children's needs and medical conditions.

Main Methods:

• Utilized Sora, a text-to-video AI software, to generate personalized videos for pediatric patients.
• Created videos focused on emotional support, depicting common medical devices in a child-friendly manner.
• Developed educational videos explaining medical concepts, such as diabetes management, using visual metaphors.

Main Results:

• Demonstrated Sora's capability to create tailored videos matching children's interests and medical needs.
• Showcased videos designed for emotional well-being, featuring relatable characters using medical equipment.
• Illustrated educational potential with a video explaining diabetes management through an analogy.

Conclusions:

• This study marks the first application of text-to-video AI software in a pediatric setting.
• AI-generated personalized videos show promise in fostering comfort and engagement for hospitalized children.
• Sora offers a versatile platform for creating customized therapeutic and educational content for pediatric care.