ARTIFICIAL INTELLIGENCE IN THE STUDY OF PHYSIOLOGICAL PARAMETERS OF THE HUMAN RESPIRATORY SYSTEM

Modern artificial intelligence technologies offer new opportunities for analyzing physiological parameters of the human respiratory system. Machine learning algorithms enable processing large data sets, identifying patterns, and predicting lung function based on standard respiratory parameters. This study analyzed data from 60 volunteers across three age groups using an AI system to assess vital capacity, respiratory rate, and minute volume. Results showed that the AI system can accurately classify age-related respiratory function characteristics and identify functional decline in elderly participants. The use of AI can improve diagnostic accuracy, reduce analysis time, and improve the risk prediction of respiratory disorders.