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Machine-learning and artificial neural network technologies in the classification of postkeratotomic corneal deformity
Tsyrenzhapova E.K., Rozanova O.I., Iureva T.N., Ivanov A.A., Rozanov I.S.
Classification of optical coherence tomography images using deep machine-learning methods
Arzamastsev A.A., Fabrikantov O.L., Kulagina E.V., Zenkova N.A.
Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space
Vasilev Y.A., Vladzymyrskyy A.V., Arzamasov K.M., Shikhmuradov D.U., Pankratov A.V., Ulyanov I.V., Nechaev N.B.
Machine-learning technology for predicting intraocular lens power: Diagnostic data generalization
Arzamastsev A.А., Fabrikantov O.L., Zenkova N.А., Belikov S.V.
Possibilities for using the Vimedix 3.2 virtual simulator to train ultrasound specialists
Vasilev V.А., Kondrichina S.N.
Assessment of ovarian follicular reserve according to ultrasound data based on machine learning methods
Laputin F.A., Sidorov I.V., Moshkin A.S.
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
Solodkiy V.A., Nudnov N.V., Ivannikov M.E., Shakhvalieva E.S., Sotnikov V.M., Smyslov A.Y.
Students opinion about E-Learning in a Master course in Interventional Radiology: a survey among participants
Neri E., Crocetti L., Lorenzoni G., Cioni R., Brady A., Caramella D.
Learning radiologists’ annotation styles with multi-annotator labeling for improved neural network performance
Nikitin E.D.
MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic
Morozov S.P., Andreychenko A.E., Blokhin I.A., Gelezhe P.B., Gonchar A.P., Nikolaev A.E., Pavlov N.A., Chernina V.Y., Gombolevskiy V.A.
Classification of the presence of malignant lesions on mammogram using deep learning
Ibragimov A.A., Senotrusova S.A., Litvinov A.A., Beliaeva A.A., Ushakov E.N., Markin Y.V.
Digital diagnostics: A computer application for lymph node metastases in cervical cancer
Kuznetsov A.I.
“Live surgery” as a modern and visual way of training medical specialists
Fedortsov A.A., Moshurov I.P., Manukovskaya O.V., Povarkov S.M.
The concept of responsible artificial intelligence as the future of artificial intelligence in medicine
Germanov N.S.
Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient maps and stacking of machine learning algorithms
Kuznetsov A.I.
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.
Use of artificial intelligence in the diagnosis of arterial calcification
Trusov Y.А., Chupakhina V.S., Nurkaeva A.S., Yakovenko N.A., Ablenina I.V., Latypova R.F., Pitke A.P., Yazovskih A.A., Ivanov A.S., Bogatyreva D.S., Popova U.A., Yuzlekbaev A.F.
Artificial intelligence in ultrasound of thyroid nodules, prognosis of I-131 uptake
Manaev A.V., Trukhin A.A., Zakharova S.M., Sheremeta M.S., Troshina E.A.
Does aggregating results of AI system for mammography with ML meta-model improve quality of malignancy detection?
Nikitin E.D.
The 25 years development of the Moscow Center for Diagnostics: through an eyewitness
Nizovtsova L.A.
Predicting atrial fibrillation in comorbid patients with arterial hypertension and chronic obstructive pulmonary disease using laboratory research methods: a machine learning approach
Kazantseva E.V., Ivannikov A.A., Tarzimanova A.I., Podzolkov V.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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