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Artificial intelligence in medicine. What technologies will improve the quality of solutions?
Dalʹnevostočnyj matematičeskij žurnal, Tome 22 (2022) no. 2, pp. 176-178 Cet article a éte moissonné depuis la source Math-Net.Ru

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The volume of knowledge in medicine is growing like an avalanche, knowledge is constantly being updated and expanded. It is becoming increasingly difficult to keep all this in mind and make error-free and timely decisions. The time for the doctor to make the appropriate decision does not increase. As a result, the number of medical errors is growing. To solve these problems, support clinical decision-making systems based on AI methods are being created. This study is devoted to answering questions about what principles and models AI systems should be based on in order to meet modern requirements of evidence-based medicine and deserve the trust of doctors. 
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V. V. Gribova; E. A. Shalfeeva. Artificial intelligence in medicine. What technologies will improve the quality of solutions?. Dalʹnevostočnyj matematičeskij žurnal, Tome 22 (2022) no. 2, pp. 176-178. http://geodesic.mathdoc.fr/item/DVMG_2022_22_2_a7/

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[2] G. B. Fedoseev, “Medical errors: nature, causes, consequences, ways of prevention”, Therapy, 5:23 (2018), 109–115 | DOI