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Artificial intelligence ethics code in healthcare. Sustainability of artificial intelligence systems: Why do we talk about their impact on the environment?
Mikhailova A.A., Sharova D.E.
Autonomous artificial intelligence for sorting results of preventive radiological examinations of chest organs: medical and economic efficiency
Vasilev Y.A., Sychev D.A., Bazhin A.V., Shulkin I.M., Vladzymyrskyy A.V., Golikova A.Y., Arzamasov K.M., Mishchenko A.V., Bekdzhanyan G.A., Goldberg A.S., Rodionova L.G.
Comparison of the methods of operation of the artificial intelligence system in the ultra-high sensitivity mode for the autonomous description of chest X-rays without pathology
Nikitin E.D., Plaksin N.S., Garetz M.B., Gutin E.M.
Comparison of awareness and attitudes toward artificial intelligence among Russian- and English-speaking students at Orenburg State Medical University
Kalinina M.L., Svitachev A.P., Biswas D., Vishnu P.
The concept of responsible artificial intelligence as the future of artificial intelligence in medicine
Germanov N.S.
Technological defects in software based on artificial intelligence
Zinchenko V.V., Arzamasov K.M., Kremneva E.I., Vladzymyrskyy A.V., Vasilev Y.A.
Assessment of chewing efficiency with artificial intelligence
Levashov N.E., Gus’kov A.V., Oleynikov A.A., Domashkevich N.S.
Limitations of using artificial intelligence services to analyze chest x-ray imaging
Vasilev Y.A., Vladzymyrskyy A.V., Arzamasov K.M., Shulkin I.M., Astapenko E.V., Pestrenin L.D.
The experience of using artificial intelligence for automated analysis of digital radiographs in a city hospital
Borodulin B.B., Gogoberidze Y.T., Zhilinskaya K.V., Prosvirkin I.A., Sabitov R.A.
Machine-learning technology for predicting intraocular lens power: Diagnostic data generalization
Arzamastsev A.А., Fabrikantov O.L., Zenkova N.А., Belikov S.V.
Quality management system: A tool for the development of the organization or an additional burden?
Zayunchkovskiy S.Y., Konovalov S.A., Zinchenko V.V., Sharova D.E., Ahkmad E.S., Vladzymyrskyy A.V.
Double-reading mammograms using artificial intelligence technologies: A new model of mass preventive examination organization
Vasilev Y.A., Tyrov I.A., Vladzymyrskyy A.V., Arzamasov K.M., Shulkin I.M., Kozhikhina D.D., Pestrenin L.D.
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.
Detecting new lung cancer cases using artificial intelligence: clinical and economic evaluation of a retrospective analysis of computed tomography scans 2 years after the COVID-19 pandemic
Zukov R.A., Safontsev I.P., Klimenok M.P., Zabrodskaya T.E., Merkulova N.A., Chernina V.Y., Belyaev M.G., Goncharov M.Y., Omelyanovskiy V.V., Ulianova K.A., Soboleva E.A., Blokhina M.E., Nalivkina E.A., Gombolevskiy V.A.
Using neural networks for non-invasive determination of glycated hemoglobin levels, illustrated by the application of an innovative portable glucometer in clinical practice
Poliker E.E., Koshechkin K.A., Timokhin A.M., Klyukina E.V., Belyakova E.D., Brovko A.M., Lalayan A.S., Ermolaeva A.S.
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.
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.
Preparation of abdominal computed tomography data set for patients with abdominal aortic aneurysm
Kodenko M.R., Makarova T.A.
Innovative strategic session in the scientific activity of the Center for Diagnostics and Telemedicine
Vinogradova I.A., Nizovtsova L.A., Omelyanskaya O.V.
Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow
Morozov S.P., Kuzmina E.S., Ledikhova N.V., Vladzymyrskyy A.V., Trofimenko I.A., Mokienko O.A., Panina E.V., Andreychenko A.E., Omelyanskaya O.V., Gombolevskiy V.A., Polishchuk N.S., Shulkin I.M., Reshetnikov R.V.
Prospects of machine learning applications in affective disorders
Mosolova E.S., Alfimov A.E., Kostyukova E.G., Mosolov S.N.
Evaluating the performance of artificial intelligence-based software for digital mammography characterization
Vasilev Y.A., Kolsanov A.V., Arzamasov K.M., Vladzymyrskyy A.V., Omelyanskaya O.V., Semenov S.S., Axenova L.E.
Artificial intelligence technologies in the activities of primary healthcare in Moscow
Blokhina E.V., Bezymyannyy A.S.
Epistemic status of artificial intelligence in medical practice: Ethical challenges
Baeva A.V.
Methodology for testing and monitoring artificial intelligence-based software for medical diagnostics
Vasiliev Y.A., Vlazimirsky A.V., Omelyanskaya O.V., Arzamasov K.M., Chetverikov S.F., Rumyantsev D.A., Zelenova M.A.
Sarcopenia: modern approaches to solving diagnosis problems
Smorchkova A.K., Petraikin A.V., Semenov D.S., Sharova D.E.
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.
CT angiography dataset with abdominal aorta segmentation
Kodenko M.R., Vasilev Y.A., Solovev A.V., Gatin D.V., Yasakova E.P., Guseva A.V., Reshetnikov R.V.
Potential use of virtual and augmented reality technologies in modern cardiology and cardiac surgery
Rashidova S.S., Bdoyan E.A., Timurzieva M.M., Lobanovskaya S.A., Naumenko V.V., Rakhmanova A.V., Timofeeva V.D., Gutsulyak A.S., Zainullin A.A., Uzbekova K.R., Kharitonova V.A., Akhmetova N.F.
Exploring the possibilities of an artificial intelligence program in the diagnosis of macular diseases
Khabazova M.R., Ponomareva E.N., Loskutov I.A., Katalevskaya E.А., Sizov A.Y., Gabaraev G.М.
Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography
Chernina V.Y., Belyaev M.G., Silin A.Y., Avetisov I.O., Pyatnitskiy I.A., Petrash E.A., Basova M.V., Sinitsyn V.E., Omelyanovskiy V.V., Gombolevskiy V.A.
Ethical issues of implementing artificial intelligence in medicine
Konkov M.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.
Modern capabilities of artificial intelligence technologies in cardiovascular imaging
Islamgulov A.K., Bogdanova A.S., Sufiiarov D.I., Chernyavskaya A.V., Bairakaeva E.R., Maksimova A.A., Nemychnikov N.V., Bikieva D.R., Shakhmaeva A.I., Burdina L.A., Bolekhan A.V., Akimov E.I., Shurakova Z.Z.
Using artificial intelligence algorithms to approximate data from inertial measurement unit sensors and strain gauges in basketball players
Barskova E.M., Kuklev A.D., Polukarov N.V., Achkasov E.E.
Application of artificial intelligence algorithms for diagnosing the pathology of ear diseases
Khublaryan A.G., Kryukov A.I., Kunelskaya N.L., Garov E.V., Sudarev P.A., Kiselyus V.E., Zelenkova V.N., Ivanova A.A., Osadchiy A.P., Shevyrina N.G.
Classification of optical coherence tomography images using deep machine-learning methods
Arzamastsev A.A., Fabrikantov O.L., Kulagina E.V., Zenkova N.A.
Ways to improve the efficiency of implementing artificial intelligence systems in medical practice
Shmonova M.A., Avacheva T.G.
Features of conducting ethical review of research on artificial intelligence systems on the basis of the research and practical clinical center for diagnostics and telemedicine technologies of the Moscow Health Care Department, Moscow, Russian Federation
Pchelintseva O.I., Omelyanskaya O.V.
Machine learning techniques for breast cancer diagnosis
Dyomin K.S., Germashev I.V.
Epidemiological analysis of pulmonary artery dilation prevalence in Moscow: automated computed tomography image analysis
Solovev A.V., Sinitsyn V.E., Sokolova M.V., Kudryavtsev N.D., Vladzymyrskyy A.A., Semenov D.S.
Potential of a neural network in the diagnosis of laryngeal tumors
Safyannikova E.A., Kryukov A.I., Kunelskaya N.L., Sudarev P.A., Romanenko S.G., Kurbanova D.I., Lesogorova E.V., Krasil’nikova E.N., Ivanova A.A., Osadchiy A.P., Shevyrina N.G.
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.
Discrimination of artificial intelligence in healthcare
Khomyakov M.Y.
Three-dimensional reconstruction of the pelvic bones on MRI scans
Ikryannikov E.O.
On the issue of ethical aspects of the artificial intelligence systems implementation in healthcare
Sharova D.E., Zinchenko V.V., Akhmad E.S., Mokienko O.A., Vladzymyrskyy A.V., Morozov S.P.
Prospects for the application of radiomics to brain tumors
Regentova O.S., Parkhomenko R.A., Sergeyev N.I., Bozhenko V.K., Polushkin P.V., Solodkiy V.А.
A neural network for clinical decision support in orthopedic dentistry
Ignatov P.M., Oleynikov A.A., Gus'kov A.V., Shlykova A.L., Surov D.A.
A new artificial intelligence program for the automatic evaluation of scoliosis on frontal spinal radiographs: Accuracy, advantages and limitations
Kassab D.K., Kamyshanskaya I.G., Trukhan S.V.
Improving aortic aneurysm detection with artificial intelligence based on chest computed tomography data
Solovev A.V., Vasilev Y.A., Sinitsyn V.E., Petraikin A.V., Vladzymyrskyy A.V., Shulkin I.M., Sharova D.E., Semenov D.S.
Artificial intelligence in the diagnosis of thoracic aortic aneurysms in a retrospective chest computed tomography scan analysis
Solovev A.V., Sinitsyn V.E., Petraikin A.V., Vladzymyrskyy A.A., Reshetnikov R.V.
The role of mammography in breast cancer radiomics
Govorukhina V.G., Semenov S.S., Gelezhe P.B., Didenko V.V., Morozov S.P., Andreychenko A.E.
Experience with artificial intelligence algorithms for the diagnosis of vertebral compression fractures based on computed tomography: from testing to practical evaluation
Artyukova Z.R., Petraikin A.V., Kudryavtsev N.D., Petryaykin F.A., Semenov D.S., Sharova D.E., Belaya Z.E., Vladzimirskyy A.V., Vasilev Y.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.
Organizing follow-up care for patients with macular retinal pathologies using artificial intelligence systems
Chuprov A.D., Bolodurina I.P., Lositskiy A.O., Zhigalov A.Y.
Development of a portable spectrophotometer using artificial neural networks for non-invasive determination of glycated hemoglobin in blood by Raman spectroscopy
Poliker E.E., Zemskikh B.L., Koshechkin K.A.
Creation of a training and test dataset with the disposition and transposition of overlaying electrocardiographic electrodes when recording electrocardiograms-12
Gazashvili T.M., Drozdov D.V., Shutov D.V., Shkoda A.S.
How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan?
Morozov S.P., Chernina V.Y., Andreychenko A.E., Vladzymyrskyy A.V., Mokienko O.А., Gombolevskiy V.A.
1 - 58 of 58 Items

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