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NPCC DiT DCM: Chest X-ray Quality Control Module

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: Center for Diagnostics and Telemedicine (NPCC DiT DZM)
Date of the premiere of the system: 2023/11/08
Branches: Pharmaceuticals, Medicine, Healthcare

Main article: Artificial intelligence in radiology

2023: Presentation of the Chest X-ray Quality Control Module

Moscow scientists have developed software based on artificial intelligence, which will improve the quality of radiation research. Doctors will be able to use it to control the work of the X-ray absorber. This was announced on November 8, 2023 by the chief radiologist of Moscow, director of the Center for Diagnostics and Telemedicine Yuri Vasiliev.

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The Moscow Department of Health strives to ensure a high level of quality control of the research conducted. This is important to achieve accuracy and reliability of results, and to ensure safety and confidence in diagnoses that are made based on data processed by artificial intelligence. The software developed by us implements not only control over the completeness of the metadata filling, as well as the correctness of their filling by comparing it with the X-ray study itself. As of November 2023, the chest X-ray quality control module was implemented, tested and fully ready for practical use. The module allows you to control the type of projection, incomplete lung coverage and image rotation, - said Yuri Vasiliev.
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When performing X-ray examinations, technological defects may appear. For example, incorrect configuration of the diagnostic device, scanning mode, projection type or failure to comply with the instructions of an X-ray absorber. Incorrect placement of the patient leads to a decrease in the quality of the study and the risk of missing pathology, for example, if a part of the examined organ has gone beyond the digital image. When describing studies with other types of technological defects, the radiologist may not pay attention to their presence, however, for AI-based software, inaccurate information in the metadata about the study is more likely to lead to its incorrect operation.

This work was carried out as part of the implementation of the first stage of research work, supported by the Moscow Center for Innovative Technologies in Healthcare.

{{quote 'The Moscow healthcare system is developing dynamically, there is a powerful transformation and introduction of innovations. We see great opportunities and prospects for our interaction. Artificial intelligence and big data analysis are becoming reliable assistants. They help to make a diagnosis faster and more accurately, reducing waiting times and saving lives. We are confident that the software developed by the Center for Diagnostics and Telemedicine of the Moscow Department of Health will improve the quality of radiation research, "said Vyacheslav Shulenin, head of the Moscow Center for Innovative Technologies in Healthcare. }}