[The value of artificial and human intelligence - the example of bone scintigraphy]

We present a possible method of Artificial Intelligence (AI) based applications that can effectively filter noise-sensitive bone scintigraphy images. The use of special AI, based on preliminary examinations, allows us to significantly reduce study time or activity administered to the patient, thus reducing the patient, assistant, and physician radiation. We present the features of the AI filtering application, its teaching process, which is important to understand, so that the physician can safely take the processed image of the AI as a "secondary reliable opinion" to help them make a more accurate diagnosis. We also examine the robustness of the algorithm, the specificities and challenges of complex clinical control.