5.2. Physical Activity Recommendations
Physical activity recommendations are an important part of a personalized approach to maintaining and enhancing health. Based on analysis of individual data and identified patterns, artificial intelligence enables the formulation of specific recommendations that take into account age, fitness level, cardiovascular condition, and presence of chronic diseases.
In developing such recommendations, special attention is given to balancing the intensity and duration of exercise to reduce the risk of overexertion and injury.
An optimal level of physical activity improves metabolism, increases endurance, and lowers the likelihood of developing chronic conditions such as hypertension and type 2 diabetes.
A crucial aspect is the individual selection of exercise types that correspond to patients’ lifestyles and physiological characteristics.
Artificial intelligence utilizes data from wearable devices, medical test results, and medical histories to determine the most suitable training programs and to make timely adjustments.
Moreover, automation of recommendations allows monitoring progress and adapting them in real time, significantly enhancing the effectiveness of preventive measures and fostering sustainable healthy habits.
As a result, a comprehensive AI-based approach to physical activity recommendations contributes not only to overall health improvement but also to better quality of life, reducing healthcare system burdens and promoting a preventive attitude towards personal well-being.