Machine learning tools in training of medical staff

A key challenge in the field of healthcare is the integration of artificial intelligence methods and tools to support the activities of physicians in decision-making processes. The analysis of medical data is essential for understanding the disease, monitoring and predicting the development of the disease. The report examines Machine Learning techniques that are used to analyze the effectiveness of various treatments, extract and interpret complex, multidimensional data from medical studies to improve diagnostic and prognostic accuracy. Algorithms based on Deep Learning reveal hidden patterns and dependencies and offer predictions that support medical staff in their activities and assessment. Approaches for combining heterogeneous data are considered in order to improve the effectiveness of the models. The work involves the design of an intelligent application that can assist medical staff and improve their training and integration into the work environment.