Artificial intelligence-based diagnosis and treatment of childhood bronchial allergies
Abstract
Bronchial allergies in children are a frequent respiratory ailment that can have a major negative effect on quality of life. Effective management requires both individualized treatment programs and an early and accurate diagnosis. Artificial intelligence (AI) has become a potent instrument in the medical field, transforming the methods of diagnosis and therapy. In this work, we investigate the use of AI-based methods in the identification and management of pediatric bronchial allergies. AI algorithms are capable of analyzing vast amounts of patient data, including symptoms, medical histories, ...
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