ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PEDIATRICS - MODERN RESEARCH AND UNCHARTED HORIZONS

Abstract

The scientific article examines the implementation of digital technologies in the field of medicine. This review summarizes current data on the use of artificial intelligence and machine learning (AI-ML) in pediatrics based on global research. Currently, machine learning helps create models for predicting the severity of the condition in children with bronchiolitis, neonatal sepsis, bacterial infections, necrotizing enterocolitis, for screening autism, and internalizing disorders. The review highlights the variety of algorithms, analyzes the main methods with algorithms used in the development of artificial intelligence, and their application depending on specific tasks and requirements. As a result of the work, the relevance and necessity of using intelligent technologies in the modern world was determined. It was also found that despite the serious difficulties in implementing AI-ML systems, the prospects for their use encourage the search for solutions to overcome any obstacles. Highly qualified specialists from different parts of the world are constantly working on the development of this area.

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