Methodology for testing and monitoring artificial intelligence-based software for medical diagnostics [PDF]
Digital Diagnostics, 2023 BACKGROUND: The global amount of investment in companies developing artificial intelligence (AI)-based software technologies for medical diagnostics reached $80 million in 2016, rose to $152 million in 2017, and is expected to continue growing.
Yuri A. Vasiliev +6 more
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How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan? [PDF]
Digital Diagnostics, 2021 BACKGROUND: During the pandemic, computed tomography (CT) was one of the most important tools for assessing COVID-19-related lung changes. In COVID-19 patients, radiologists in Moscow used the adapted CT0-4 scale to visually assess the dependence of the ...
Sergey P. Morozov +5 more
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On the issue of ethical aspects of the artificial intelligence systems implementation in healthcare [PDF]
Digital Diagnostics, 2021 The article analyzes ethical issues inherent to different life-cycle stages of artificial intelligence systems and provides up-to-date information about global and domestic trends in this area. The international and national experience concerning ethical
Daria E. Sharova +5 more
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Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics [PDF]
Digital Diagnostics, 2021 The article describes a novel approach to creating annotated medical datasets for testing artificial intelligence-based diagnostic solutions. Moreover, there are four stages of dataset formation described: planning, selection of initial data, marking and
Nikolay A. Pavlov +5 more
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Quality management system: A tool for the development of the organization or an additional burden? [PDF]
Digital Diagnostics, 2023 A quality management system constitutes one of the organization’s management systems that provides for the selection of a set of processes in the organization’s activities designed to ensure the stable quality of products and services provided.
Sergey Yu. Zayunchkovskiy +5 more
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Hypothesis testing using R [PDF]
Digital Diagnostics, 2023 Competencies in statistical data processing are becoming increasingly important for modern scientists. The apparent advantages of open-source software for statistical analysis are its accessibility and adaptability.
Ivan A. Blokhin +4 more
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Low-dose computed tomography in COVID-19: systematic review [PDF]
Digital Diagnostics, 2023 BACKGROUND: The increased number of computed tomography scans during the COVID-19 pandemic has emphasized the task of decreasing radiation exposure of patients, since it is known to be associated with an elevated risk of cancer development. The ALARA (as
Ivan A. Blokhin +4 more
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Using a mobile computer tomography scanner in a field hospital setting to manage patients with COVID-19 [PDF]
Digital Diagnostics, 2023 The global outbreak of COVID-19 has posed unprecedented challenges to healthcare systems worldwide. Healthcare administrators had to make quick and effective decisions to ensure high quality of medical care standards in new conditions. The need to form a
Nikita D. Kudryavtsev +7 more
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Double-reading mammograms using artificial intelligence technologies: A new model of mass preventive examination organization [PDF]
Digital Diagnostics, 2023 BACKGROUND: In recent years, the availability of medical datasets and technologies for software development based on artificial intelligence technology has resulted in a growth in the number of solutions for medical diagnostics, particularly mammography.
Yuriy A. Vasilev +6 more
doaj +1 more source
Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study [PDF]
Digital Diagnostics, 2023 BACKGROUND: The DutchBelgian Randomized Lung Cancer Screening Trial (NELSON) used a volume-based protocol and significantly reduced the prevalence of false-positive results (2.1%).
Maria M. Suchilova +7 more
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