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Substantiation of a new approach to the criteria for assessing the radiation dose of patients during computed tomography
Matkevich E.I., Sinitsyn V.Е., Ivanov I.V.
Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021
Gusev A.V., Vladzymyrskyy A.V., Sharova D.E., Arzamasov K.M., Khramov A.E.
Hypothesis testing using R
Blokhin I.A., Kodenko M.R., Shumskaya Y.F., Gonchar A.P., Reshetnikov R.V.
Interdisciplinary databank in oncoendocrinology: radioiodine refractory differentiated thyroid cancer
Rumyantsev P.O., Baidak A.G.
Machine-learning technology for predicting intraocular lens power: Diagnostic data generalization
Arzamastsev A.А., Fabrikantov O.L., Zenkova N.А., Belikov S.V.
Classification of optical coherence tomography images using deep machine-learning methods
Arzamastsev A.A., Fabrikantov O.L., Kulagina E.V., Zenkova N.A.
Discrimination of artificial intelligence in healthcare
Khomyakov M.Y.
Learning radiologists’ annotation styles with multi-annotator labeling for improved neural network performance
Nikitin E.D.
Comparative study of the digital mammography data analysis system based on artificial intelligence “Celsus” and radiologists
Pavlovich P.I., Bronov O.Y., Kapninsky A.A., Abovich Y.A., Rychagova N.I.
Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics
Pavlov N.A., Andreychenko A.E., Vladzymyrskyy A.V., Revazyan A.A., Kirpichev Y.S., Morozov S.P.
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