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Artificial intelligence systems for doctors training

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dc.contributor.authorShabalova, I. P.
dc.contributor.authorDruzhinina, E. A.
dc.contributor.authorNikitaev, V. G.
dc.contributor.authorPronichev, A. N.
dc.contributor.authorSelchuk, V. Yu.
dc.contributor.authorDmitrieva, V. V.
dc.contributor.authorPolyakov, E. V.
dc.contributor.authorDzhangirova, T. V.
dc.contributor.authorMozerov, S. A.
dc.contributor.authorНикитаев, Валентин Григорьевич
dc.contributor.authorПроничев, Александр Николаевич
dc.contributor.authorСельчук, Владимир Юрьевич
dc.contributor.authorДмитриева, Валентина Викторовна
dc.contributor.authorПоляков, Евгений Валерьевич
dc.date.accessioned2024-11-25T16:11:08Z
dc.date.available2024-11-25T16:11:08Z
dc.date.issued2020
dc.description.abstract© Published under licence by IOP Publishing Ltd.One of the most effective solutions of oncology problems is creation of artificial intelligence medical systems. Intelligent medical system is a collaboration product of doctors and IT specialists. This article reveals an approach to the creation of educational intelligent systems using the example of an intellectual teaching system for the cytological diagnosis of breast diseases. These systems are based on many years of doctor's practice and improve the quality of training for new doctors.
dc.identifier.citationArtificial intelligence systems for doctors training / Shabalova, I.P. [et al.] // Journal of Physics: Conference Series. - 2020. - 1439. - № 1. - 10.1088/1742-6596/1439/1/012030
dc.identifier.doi10.1088/1742-6596/1439/1/012030
dc.identifier.urihttps://www.doi.org/10.1088/1742-6596/1439/1/012030
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85079099591&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20261
dc.relation.ispartofJournal of Physics: Conference Series
dc.titleArtificial intelligence systems for doctors training
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume1439
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