Cybernetics and Computer Engineering, 2020, 1(199)
GRITSENKO V.I., Corresponding Member of NAS of Ukraine,
Director of International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine
FAINZILBERG L.S., DSc. (Engineering), Professor,
Chief Researcher of the Department of Intelligent Automatic Systems
International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and of Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine
CURRENT STATE AND PROSPECTS FOR THE DEVELOPMENT OF DIGITAL MEDICINE
Introduction. According to the definition of the International Society of Digital Medicine, digital medicine is a field of science in which scientists strive to explain previously incomprehensible pathophysiological phenomena in the human body and to explore new medical procedures using modern digital technologies to improve the quality of human life.
The purpose of the paper is to provide brief information about the current state and prospects for the development of digital medicine.
Methods. The analysis of the main directions of digital medicine is done. Basic definitions of the concepts “Intelligent IT signal processing” and “Effective computational procedure” are formulated. The role of intelligent IT in digital medicine is demonstrated on the example of fasegraphy method.
Results. Existing methods and means of digital medicine are used for diagnosis, treatment, rehabilitation, as well as to restore the lost functions of the patient (vision, hearing, movement). Such technologies make it possible not only to free medical workers from solving routine tasks, but also to increase the efficiency of performing surgical operations, radiation therapy and a number of other tasks of practical medicine. Unlike traditional IT, based on procedures for processing numerical data, intelligent IT operate with generalized concepts (images) that provide more complete information about the external environment, and the analysis of such images generates a holistic picture of the phenomena studied. Within the framework of the algorithmic approach, the construction of intelligent IT for solving the problems of digital medicine requires the active participation of a technology developer, who, using his natural intelligence, creates effective procedures for extracting diagnostic information from real data under disturbances.
Conclusions. Intelligent IT with the properties of natural intelligence (adaptation, generalization, learning, etc.) play an important role in expanding the functional capabilities and increasing the effectiveness of digital medicine.
Keywords: digital medicine, intelligent IT, efficient computing procedures.
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