Regional informatizatian projects
  • 2018 № 4 Radiology information system of the Krasnodar region: development of the reference clinical and diagnostic center for breast pathology

    In order to increase the availability and quality of specialized oncological care for the population of the Krasnodar Territory, the clinical and diagnostic Center of breast pathology was created. Teleradiology is one of the most efficient way for remote consultations. The article contains a description of the methodology for organizing the work of the Reference Center using telemedicine technologies via Radiology in-formation system of the Krasnodar Territory (RIS). DICOM modalities in diagnostic departments, local PACS in medical facilities are the part of regional RIS and also include 2 mammography units located in interterritorial oncological dispensaries. Every month new mammography exams are delivered to local PACS, which determines the relevance of their remote consultation. To fully operate the Reference Center as key participant in the system of teleradiology consultations, it is necessary to create a complex diagnostic information system in the regional clinical oncology dispensary. This is one of the results of the paper. The use of a unified system increases the efficiency of the information technologies in a remote mammographic screening and also allows standardizing and formalizing activity of a radiologist according to recommendation such as BIRADS, facilitates and speeds up the routine work of the radiologist, improves the quality of radiology interpretation, provides to radiologist effective help, using computeraided diagnostic

    Authors: Koshkarov A. A. [8] Penner D. V. [2] Dubrovin A. V. [2] Glushkova I. V. [1] Murashko R. A. [3] Rubcova I. T. [1]

    Tags: dicom2 mammography2 medical imaging2 pacs2 radiology5 remote consultation2 ris2 telemedicine17 teleradiology4

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  • Artificial intelligence in health care
  • 2020 № 4 Moscow experiment on computer vision in radiology: involvement and participation of radiologists

    B a c k g r o u n d . In 2019, the Moscow Government decided to conduct a large-scale scientific research – an the Experiment on the use of innovative computer vision technologies for medical image analysis and subsequent applicability in the healthcare system of Moscow (www.mosmed.ai).
    O b j e c t i v e – analyze engagement, attitudes and feedback from doctors-radiologists in frame of the Experiment.
    M a t e r i a l s a n d m e t h o d s . The Experiment is a prospective research approved by the Independent Ethics Committee and registered with Clinicaltrails.gov (ID NCT04489992). Patients signed informed voluntary consent. On the date 01.10.2020, ten services are involved in the Experiment, they providing automated analysis of chest computed tomography and x-ray, mammography. The study includes quantitative indicators of the Experiment from 06/18/2020 to 10/01/2020. Methods of social survey, descriptive statistics, assessment of diagnostic accuracy metrics were used.
    R e s u l t s a n d d i s c u s s i o n . During the first four months of the active phase of the Experiment, ten computer vision services were integrate into Unified Radiology Service of Moscow. More then 497 thousand studies have been successfully analyzed. Analyzes is carried out for 884 diagnostic devices in 293 medical organizations, 272 of them are actively involved. The involvement of medical organizations is 82%. The median time for automatic analysis of 1 study is 8 minutes. Overall, 63% of studies were analyzed in less than 15 minutes. At the beginning of the Experiment, 538 doctors had access to the system; in four months this number increased to 899. The involvement of doctors was 24%, which is slightly higher than the global indicators. According to the results of a sociological survey, the attitude to AI technologies of Moscow radiologists can be characterize as expectant, moderately optimistic. Radiologists
    have determined that the results of computer vision services are fully consistent with the real situation in 64% of cases. In 36% cases some inconsistencies were recorded; of this number, significant discrepancies took place in 6%, insignificant – in 23%.
    C o n c l u s i o n . Results of the Experiment’s first four months can be consider as successful. A high level of involvement of radiologists is define. Special measures will be implement to increase the involvement of radiologists, as well as a comprehensive comparative assessment of the work of services at the further stages of the Experiment.

    Authors: Morozov S. P. [7] Vladzymyrskyy A. V. [7] Ledikhova N. V. [4] Andrejchenko A. E. [1] Arzamasov K. M. [1] Balanjuk E. A. [1] Gombolevskij V. A. [1] Ermolaev S. O. [1] Zhivodenko V. S. [1] Idrisov I. M. [1] Kirpichev Ju. S. [1] Logunova T. A. [1] Nuzhdina V. A. [1] Omeljanskaja O. V. [1] Rakovchen V. G. [1] Slepushkina A. V. [1]

    Tags: artificial intelligence10 chest1 computed tomography2 computer vision1 malignant tumor1 mammography2 radiography1 radiology5

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