The use of artificial intelligence in health care. Problems of identification of patients' conditions in the processes of detailing the diagnosis

Abstract

The problems of using artificial intelligence in health care were discussed. The aim of the study. Assess the possibilities of using artificial intelligence in medicine right now. Most studies comparing the performance of AI and clinicians are not valid because the tests are not large enough or come from different sources. This difficulty could be overcome in the era of an open healthcare system. Indeed, open data and open methods are sure to attract a lot of attention as new research methods. It also highlights the idea that AI technologies can improve accuracy by incorporating additional data for self-updating, but automatically incorporating low-quality data can lead to inconsistent or inferior algorithm performance. The conclusion made is that the introduction of artificial intelligence into clinical practice is a promising field of development that is rapidly developing along with other modern fields of precision medicine. One of the fundamental issues remains the solution of ethical and financial issues related to the introduction of artificial intelligence

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