The Nearest Results of Artificial Intelligence Application in Biology and Medicine: Development Trends and Implementation Risks

Abstract

Against the incredibly rapid development of the theoretical foundations of the implementation of artificial intelligence (AI), its use in practical medicine is limited to a relatively small number of valuable areas. The purpose of the study is to conceptualize the reasons for limitations in the use of AI, as well as the prospects and risks of AI implementation. The main discussion results can be formulated in the following ways. (1) The emergence of AI opens a new era in biology and medicine and revolutionizes disease diagnosis, forecasting, and management strategies. (2) Despite the enormous potential of AI in healthcare, significant ethical, regulatory, technological, and technical challenges remain. The issues of constant changes in the clinical manifestations of the disease and problems of semantics deserve special attention. (3) Addressing issues related to data privacy, fragmentation of medical models and data, algorithmic biases, regulatory compliance, and inherent resistance to change is critical to Al’s responsible and effective integration into healthcare. (4) Although the integration of AI promises significant advances in biology and healthcare, the latter are in continuous development and require additional research and clinical trials for confirmation.

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