ISSN 2409-7616

Ivanchuk O.V., Plashchevaya E.V., Nurmukhambetova S.A.


UDC 378:004.8:614.2


Ivanchuk O.V.1 (Astrakhan, Russian Federation) –, Plashchevaya E.V.2 (Blagoveshchensk, Russian Federation) –, Nurmukhambetova S.A.3 (Astrakhan, Russian Federation) –

1Astrakhan State Medical University

2Amur State Medical Academy

3Astrakhan State Technical University

Abstract. Artificial intelligence (AI) occupies firmer positions in different spheres of science, technique and practical activity of humans, including medicine. Using huge data masses as well as neural networks integrated into fuzzy logic, AI finds its application in solving tasks on recognizing medical images, maintaining patient monitoring, building various mathematical models of medical biological models. In spite of the wide opportunities of AI in the field of medicine and healthcare, academic communities and practicing doctors recognize the issues of its implementation into practical activity of doctors and its potential risks. One of these issues emphasized by a number of researchers is the unwillingness of practicing doctors to implement AI for solving professional tasks. In the framework of our study, we considered it important to find out how well the doctors, the teaching staff of a medical university and the learners (students and interns) are aware of AI, whether they realize risks and problems connected with its implementation into medicine. For this purpose, we used a questionnaire, having estimated its reliability by calculating the α-Cronbach coefficient (α=0,847). Generalization of the results enabled us to answer the questions posed during the study, as well as to determine the correlation dependencies between the work experience of clinical practice and the level of knowledge in the field of AI, recognizing a number of problems and risks. The obtained results allowed us to map out the ways of solving the revealed issues by means of developing educational programs for practicing doctors, university teachers and students. These educational programs allow to harmoniously combine the knowledge in the field of AI with medical-biological, clinical researches, new methods of treatment algorithms and diagnostics.

Keywords: artificial intelligence in medicine, teaching bases of artificial intelligence to medical staff.


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For citation:

Ivanchuk O.V., Plashchevaya E.V., Nurmukhambetova S.A. Artificial intelligence in the system of healthcare: issues if readiness and education. CITISE, 2022, no. 3, pp. 225-237. DOI: