Procedure for preventing disability in paediatric patients assisted by generative artificial intelligence
Keywords:
Prevention, disability, paediatric patient, Artificial Intelligence, procedure.Abstract
This article presents an innovative procedure called “IA-PrevDis,” designed to prevent the progression of disabilities in pediatric patients through the use of generative artificial intelligence (GAI). A quasi-experimental, field-based observational study was conducted, employing methods of analysis, synthesis, induction, deduction, quasi-experimentation, and statistical testing. The approach integrates GAI tools such as Grok, ChatGPT, Canva, DeepSeek, among others, to generate personalized educational and preventive plans tailored to local contexts such as Banes, Holguín, Cuba. It was validated through a quasi-experimental study with 50 pediatric children (ages 6–12) with mild disabilities, divided into intervention and control groups in the municipality of Banes, Holguín, Cuba. Results, analyzed using the Mann–Whitney U test, showed significant improvements in functional skills and a reduction in the risk of worsening conditions. Educational and ethical implications, as well as applications in low-resource settings, are discussed, aligned with the principles of inclusive pedagogy.
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