Іздеу

Шығарылым
Атауы
Авторлар
Machine-learning and artificial neural network technologies in the classification of postkeratotomic corneal deformity
Tsyrenzhapova E., Rozanova O., Iureva T., Ivanov A., Rozanov I.
Machine-learning technology for predicting intraocular lens power: Diagnostic data generalization
Arzamastsev A., Fabrikantov O., Zenkova N., Belikov S.
Classification of optical coherence tomography images using deep machine-learning methods
Arzamastsev A., Fabrikantov O., Kulagina E., Zenkova N.
Comparison of awareness and attitudes toward artificial intelligence among Russian- and English-speaking students at Orenburg State Medical University
Kalinina M., Svitachev A., Biswas D., Vishnu P.
Improving aortic aneurysm detection with artificial intelligence based on chest computed tomography data
Solovev A., Vasilev Y., Sinitsyn V., Petraikin A., Vladzymyrskyy A., Shulkin I., Sharova D., Semenov D.
Exploring the possibilities of an artificial intelligence program in the diagnosis of macular diseases
Khabazova M., Ponomareva E., Loskutov I., Katalevskaya E., Sizov A., Gabaraev G.
The concept of responsible artificial intelligence as the future of artificial intelligence in medicine
Germanov N.
A new artificial intelligence program for the automatic evaluation of scoliosis on frontal spinal radiographs: Accuracy, advantages and limitations
Kassab D., Kamyshanskaya I., Trukhan S.
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., Plaksin N., Garetz M., Gutin E.
Technological defects in software based on artificial intelligence
Zinchenko V., Arzamasov K., Kremneva E., Vladzymyrskyy A., Vasilev Y.
Assessment of chewing efficiency with artificial intelligence
Levashov N., Gus’kov A., Oleynikov A., Domashkevich N.
Methodology for testing and monitoring artificial intelligence-based software for medical diagnostics
Vasiliev Y., Vlazimirsky A., Omelyanskaya O., Arzamasov K., Chetverikov S., Rumyantsev D., Zelenova M.
Ethical issues of implementing artificial intelligence in medicine
Konkov M.
Sarcopenia: modern approaches to solving diagnosis problems
Smorchkova A., Petraikin A., Semenov D., Sharova D.
On the issue of ethical aspects of the artificial intelligence systems implementation in healthcare
Sharova D., Zinchenko V., Akhmad E., Mokienko O., Vladzymyrskyy A., Morozov S.
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., Koshechkin K., Timokhin A., Klyukina E., Belyakova E., Brovko A., Lalayan A., Ermolaeva A.
Ways to improve the efficiency of implementing artificial intelligence systems in medical practice
Shmonova M., Avacheva T.
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., Omelyanskaya O.
The role of mammography in breast cancer radiomics
Govorukhina V., Semenov S., Gelezhe P., Didenko V., Morozov S., Andreychenko A.
Application of artificial intelligence algorithms for diagnosing the pathology of ear diseases
Khublaryan A., Kryukov A., Kunelskaya N., Garov E., Sudarev P., Kiselyus V., Zelenkova V., Ivanova A., Osadchiy A., Shevyrina N.
Discrimination of artificial intelligence in healthcare
Khomyakov M.
Three-dimensional reconstruction of the pelvic bones on MRI scans
Ikryannikov E.
Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021
Gusev A., Vladzymyrskyy A., Sharova D., Arzamasov K., Khramov A.
Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics
Pavlov N., Andreychenko A., Vladzymyrskyy A., Revazyan A., Kirpichev Y., Morozov S.
Potential of a neural network in the diagnosis of laryngeal tumors
Safyannikova E., Kryukov A., Kunelskaya N., Sudarev P., Romanenko S., Kurbanova D., Lesogorova E., Krasil’nikova E., Ivanova A., Osadchiy A., Shevyrina N.
Artificial intelligence in the diagnosis of thoracic aortic aneurysms in a retrospective chest computed tomography scan analysis
Solovev A., Sinitsyn V., Petraikin A., Vladzymyrskyy A., Reshetnikov R.
Does aggregating results of AI system for mammography with ML meta-model improve quality of malignancy detection?
Nikitin E.
How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan?
Morozov S., Chernina V., Andreychenko A., Vladzymyrskyy A., Mokienko O., Gombolevskiy V.
Development of a portable spectrophotometer using artificial neural networks for non-invasive determination of glycated hemoglobin in blood by Raman spectroscopy
Poliker E., Zemskikh B., Koshechkin K.
Creation of a training and test dataset with the disposition and transposition of overlaying electrocardiographic electrodes when recording electrocardiograms-12
Gazashvili T., Drozdov D., Shutov D., Shkoda A.
Modification of quality assessment tool for artificial intelligence diagnostic test accuracy studies (QUADAS-CAD)
Kodenko M., Reshetnikov R., Makarova T.
Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow
Morozov S., Kuzmina E., Ledikhova N., Vladzymyrskyy A., Trofimenko I., Mokienko O., Panina E., Andreychenko A., Omelyanskaya O., Gombolevskiy V., Polishchuk N., Shulkin I., Reshetnikov R.
Epidemiological analysis of pulmonary artery dilation prevalence in Moscow: automated computed tomography image analysis
Solovev A., Sinitsyn V., Sokolova M., Kudryavtsev N., Vladzymyrskyy A., Semenov D.
Artificial intelligence technologies in the activities of primary healthcare in Moscow
Blokhina E., Bezymyannyy A.
Artificial intelligence ethics code in healthcare. Sustainability of artificial intelligence systems: Why do we talk about their impact on the environment?
Mikhailova A., Sharova D.
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., Belyaev M., Silin A., Avetisov I., Pyatnitskiy I., Petrash E., Basova M., Sinitsyn V., Omelyanovskiy V., Gombolevskiy V.
Artificial intelligence approaches in histology
Yasnov A., Remez A., Mayer A.
MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic
Morozov S., Andreychenko A., Blokhin I., Gelezhe P., Gonchar A., Nikolaev A., Pavlov N., Chernina V., Gombolevskiy V.
Use of artificial intelligence in the diagnosis of arterial calcification
Trusov Y., Chupakhina V., Nurkaeva A., Yakovenko N., Ablenina I., Latypova R., Pitke A., Yazovskih A., Ivanov A., Bogatyreva D., Popova U., Yuzlekbaev A.
A neural network for clinical decision support in orthopedic dentistry
Ignatov P., Oleynikov A., Gus'kov A., Shlykova A., Surov D.
Quality management system: A tool for the development of the organization or an additional burden?
Zayunchkovskiy S., Konovalov S., Zinchenko V., Sharova D., Ahkmad E., Vladzymyrskyy A.
Preparation of abdominal computed tomography data set for patients with abdominal aortic aneurysm
Kodenko M., Makarova T.
Double-reading mammograms using artificial intelligence technologies: A new model of mass preventive examination organization
Vasilev Y., Tyrov I., Vladzymyrskyy A., Arzamasov K., Shulkin I., Kozhikhina D., Pestrenin L.
Artificial intelligence for bone mineral density assessment: general population data
Shelepa A., Petraikin A., Artyukova Z., Abuladze L., Kudryavtsev N., Ahmad E., Semenov D., Zakharov A., Belyaev M.
Organizing follow-up care for patients with macular retinal pathologies using artificial intelligence systems
Chuprov A., Bolodurina I., Lositskiy A., Zhigalov A.
Classification of the presence of malignant lesions on mammogram using deep learning
Ibragimov A., Senotrusova S., Litvinov A., Beliaeva A., Ushakov E., Markin Y.
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
Solodkiy V., Nudnov N., Ivannikov M., Shakhvalieva E., Sotnikov V., Smyslov A.
Innovative strategic session in the scientific activity of the Center for Diagnostics and Telemedicine
Vinogradova I., Nizovtsova L., Omelyanskaya O.
Comparative study of the digital mammography data analysis system based on artificial intelligence “Celsus” and radiologists
Pavlovich P., Bronov O., Kapninsky A., Abovich Y., Rychagova N.
Нәтижелер 49 - 1/49
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