Implementation of artificial neural networks and neurocomputers in medicine: From fantastic idea to intelligent screening systems

Abstract

Artificial, informatical neural network is one of the developed forms of implementation of the artificial intelligence systems in various fields of human activity, and therefore in medicine, where it is primarily used in order to minimize the possibility of professional error and improve the qualitative and predictive analysis of complex medical and clinical data. Although welcomed with skepticism, the application of artificial intelligence systems in medicine in a short time led to a significant increase in quality of established health care, and later to the creation of opportunities for implementation of a large number of algorithmic models for early diagnosis and screening of a large number of malignant and chronic non-communicable diseases. The usage of artificially intelligent diagnostic systems in Serbia is not yet sufficiently represented, and the necessity of their rapid implementation in order to modernize the existing practice is indicated by numerous researches confirming the success of their application, especially in the field of preventive medicine, as well as in many clinical and scientific disciplines.

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