Artificial intelligence (AI) has a transformative impact on pediatric healthcare, especially in the field of pediatric allergies. This chapter explores how AI enhances the diagnosis, treatment, and prediction of allergic reactions in children. AI’s exceptional ability to analyze multi-dimensional data, detect subtle indicators, and make probabilistic predictions significantly improves diagnostic accuracy and personalization of treatment plans. It also contributes to predicting allergic reactions and developing new therapeutics by identifying novel targets and repurposing existing drugs. While AI presents immense opportunities, challenges such as data privacy, bias, and the need for clinician oversight must be addressed. The chapter emphasizes the importance of responsible AI integration, rigorous validation, and regulatory standards to ensure safe and effective implementation in pediatric allergy care.

THE TRANSFORMATIVE POWER OF AI IN PEDIATRIC HEALTHCARE AND ITS APPLICATION IN PEDIATRIC ALLERGY

Ferrante Giuliana;
2024-01-01

Abstract

Artificial intelligence (AI) has a transformative impact on pediatric healthcare, especially in the field of pediatric allergies. This chapter explores how AI enhances the diagnosis, treatment, and prediction of allergic reactions in children. AI’s exceptional ability to analyze multi-dimensional data, detect subtle indicators, and make probabilistic predictions significantly improves diagnostic accuracy and personalization of treatment plans. It also contributes to predicting allergic reactions and developing new therapeutics by identifying novel targets and repurposing existing drugs. While AI presents immense opportunities, challenges such as data privacy, bias, and the need for clinician oversight must be addressed. The chapter emphasizes the importance of responsible AI integration, rigorous validation, and regulatory standards to ensure safe and effective implementation in pediatric allergy care.
2024
9783031735134
Artificial intelligence, pediatric allergy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1162436
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