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Nikolaev A.E.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Chernina V.Yu.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Blokhin I.A.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Shapiev A.N.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Gonchar A.P.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Gombolevskiy V.A.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Petraikin A.V.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Silin A.Yu.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Petrova G.D.
Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department, Moscow, Russia
Morozov S.P.
Tsentral'naia klinicheskaia bol'nitsa s poliklinikoĭ Upravleniia delami Prezidenta RF, Moskva
The future of computer-aided diagnostics in chest computed tomography
Journal: Pirogov Russian Journal of Surgery. 2019;(12): 91‑99
Views: 2413
Downloaded: 62
To cite this article:
Nikolaev AE, Chernina VYu, Blokhin IA, et al. . The future of computer-aided diagnostics in chest computed tomography. Pirogov Russian Journal of Surgery.
2019;(12):91‑99. (In Russ.)
https://doi.org/10.17116/hirurgia201912191
Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. The primary condition for machine learning is met because medical diagnostic images have high reproducibility. Today, the most common anatomic area for computed tomography is the thorax, particularly with the widespread lung cancer screening programs using low-dose computed tomography. In this regard, the amount of information that needs to be processed by a radiologist is snowballing. Thus, automatic image analysis will allow more studies to be interpreted. This review is aimed at highlighting the possibilities of machine learning in the chest computed tomography.
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Authors:
Nikolaev A.E.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Chernina V.Yu.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Blokhin I.A.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Shapiev A.N.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Gonchar A.P.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Gombolevskiy V.A.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Petraikin A.V.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Silin A.Yu.
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
Petrova G.D.
Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department, Moscow, Russia
Morozov S.P.
Tsentral'naia klinicheskaia bol'nitsa s poliklinikoĭ Upravleniia delami Prezidenta RF, Moskva
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