Abstract
The use of artificial intelligence (AI) in the sphere of medicine is aimed at primary diagnostics of human body and finding treatment approaches and solutions. While some scientists consider that AI is able to detect many complicated diseases at early stages thus saving lives of many patients, human reasoning methods in the field of medicine cannot be fully replaced by machines. This paper aims to find out the optimal balance between human and AI participation in diagnostic and treatment decision processes. With this purpose a simulation of diseases based on 100 real-case anonymous data was generated to be diagnosed through independent and simultaneous AI and human analysis. As a result, the quantitative and qualitative outcomes were summarized and used to suggest a solution to combine AI and human participation, aimed at elimination disadvantages and most effective use of advantages of both sides.
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