APPLICATION OF ARTIFICIAL INTELLIGENCE IN MEDICINE

Abstract

This article analyzes the possibilities of applying artificial intelligence (AI) technologies in the field of medicine, their role in clinical practice, and future prospects. In recent years, due to the rapid development of digital technologies, artificial intelligence has been widely used in diagnostics, prognosis, personalized treatment, robotic surgery, and epidemiological monitoring. In particular, machine learning and deep learning algorithms enable high-accuracy analysis of X-ray, CT, and MRI images. The article also examines the importance of artificial intelligence in clinical decision support systems, electronic medical databases, and pandemic forecasting. According to the World Health Organization, digital health technologies are becoming an integral part of the global healthcare system. In addition, platforms such as IBM Watson Health are used to optimize clinical decision-making processes in oncology. The article analyzes not only the advantages of artificial intelligence (accuracy, speed, reduction of human errors), but also pressing issues such as data security, bioethical concerns, and legal responsibility. In conclusion, it is substantiated that artificial intelligence does not completely replace physicians, but rather serves as an innovative tool that effectively supports their professional activities.

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