Personalizovana medicina i vještačka inteligencija

Authors

  • Dejan Bokonjić

DOI:

https://doi.org/10.7251/ZJF2514039B

Keywords:

Personalized medicine, artificial intelligence, clinical decision making system

Abstract

Big Data Technology “Big Data” are techniques for analyzing large amounts of data to provide better knowledge, determine trends, and make predictions. Personalized medicine refers to a medical model that uses the characterization of phenotypes and genotypes of individuals in order to define the right therapeutic strategy for a specific person at a specific time and also to determine the predisposition to diseases. Artificial intelligence (AI) is the ability of a computer or computer-controlled robot to perform tasks through the process of incorporating human intelligence into machines that apply logic and reasoning to analyze input data and perform cognitive function. AI provides the ability to enable computers to solve complex problems on their own, to understand, act and learn in a human-like manner. A major concern is whether the large amount of patient data collected for computers and AI models is securely protected. Investments are needed in solutions that guarantee the protection of data and privacy of patients and health information in general. AI cannot replace a physician’s judgment, but rather AI should support the clinician’s decisions. There must be critical thinking and analysis of information by the physician for the data obtained by artificial intelligence. Lines of responsibility must be drawn to articulate who must be responsible when a patient is harmed or injured as a result of errors caused by the use of technologies.

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Published

2025-11-19