Artificial intelligence (AI) has revolutionized medical research by using machine learning (ML), and deep learning (DL), to improve various aspects of healthcare. In this chapter, the profound impact of artificial intelligence on one area of ​​medical research is considered. The artificial intelligence system “PolliWeather” is created to track and forecast the allergenic danger and the spread of ragweed pollen allergens depending on the weather conditions and districts of Kyiv. This system can inform people about the level of allergen danger in different areas of the city, analyzing and predicting the risk of developing hay fever depending on the time of day, season, and districts of Kyiv. The study predicts a decrease in the risk of pollen-related allergies over the next three years due to global warming, which increases air humidity due to melting glaciers. However, residents of large built-up cities suffer more from pollen allergies due to the urban heat island effect, which leads to higher temperatures in the city. In this way, it is shown that people can take steps in advance to avoid health problems using the AI system “PolliWeather”.