Moscow neural networks analyzed 30% of radiation studies of patients with Yamalo-Nenets Autonomous Okrug

2023

Analysis of 30% of radiation studies of patients with YNAO

Moscow neuronets analyzed 30% of radiation studies of patients. YANAO

Neural networks - participants in the Moscow experiment - processed more than 60 thousand radiation studies of patients in polyclinics and hospitals in the Yamalo-Nenets Autonomous Okrug. If in the first year of cooperation 5 medical institutions of the district were connected to the platform, then as of December 2023 there are already 14 of them. In 2024, Moscow and the Yamalo-Nenets Autonomous Okrug will continue to cooperate to study the capabilities of computer vision technologies for analyzing medical images. Anastasia Rakova, Deputy Mayor of Moscow for Social Development, spoke about this on December 26, 2023.

The Yamal-Nenets Autonomous Okrug has been cooperating with our Center for Diagnostics and Telemedicine since 2022. Over the year, the number of medical institutions in Yamal using Moscow neural networks and doctors of 3 medical organizations in the region use smart algorithms to describe medical images has grown almost 14 times. These are all institutions in which radiation studies are carried out. During this time, more than 60 thousand were processed - 30% of all in the region - studies of fluorography, mammography, X-ray and computed tomography of the chest organs. We will continue cooperation in 2024, within the framework of which Moscow will process research from polyclinics and hospitals of the Yamalo-Nenets Autonomous Okrug in current areas. The capital offers the highest quality complex solutions for this - these are services that are configured to search for several pathologies at once in one anatomical zone. This cooperation expands the possibilities of radiation diagnostics of the Yamalo-Nenets Autonomous Okrug, - said Anastasia Rakova.

The doctors of Yamal got the opportunity to use Moscow neural networks at the end of 2022 thanks to the HUB Telemed platform developed by the Moscow Center for Diagnostics and Telemedicine of DZM. Studies from regional clinics are anonymized through the platform to neural networks, and, after processing by artificial intelligence, are returned to the doctor as additional information for the final description. This helps automate routine processes and save time. Moscow specialists accompany the process and control the quality of neural networks.

Artificial intelligence actively and quite professionally describes mammographic, fluorographic and X-ray studies. Green marks everything that corresponds to the norm, red marks the potential danger. Working with AI is a kind of exchange of professional experience: doctors share knowledge with an electronic assistant, it in turn excludes the human factor: fatigue, inattention or error. Radiologists describe up to 100 mammographic studies per day, about 130 - X-rays and up to 400 fluorographies. The opportunity to share the amount of work with an assistant who can work without a break for sleep is unconditional luck, - said Yanina Kovaleva, head of the X-ray department of the Novourengoy Central City Hospital.

The Center for Diagnostics and Telemedicine DZM is the flagship for the introduction of artificial intelligence into radiation diagnostics. The scientific and practical center has special experience in working with neural networks, since the largest experiment on the introduction of computer vision technologies in healthcare is taking place on its basis, more than 11 million studies have been processed here in 4 years. Artificial intelligence services have been integrated into a single radiological information service of the unified medical information and analytical system (EMIAS) of the capital. Thus, radiologists of all medical institutions in Moscow connected to EMIAS were able to use innovative technologies.

We offer YNAO doctors comprehensive AI-based services, these are proven solutions, with a high performance under the conditions of the Moscow experiment. Such services allow you to identify not only deviations that are the purpose of the survey, but also a number of others. For example, the patient was sent to a study to exclude pneumonia, and the service, having analyzed the picture, found additional signs of an aortic aneurysm. One such service is able to detect signs of ten pathologies on a computed tomogram of the chest organs, - said Yuri Vasiliev, chief freelance specialist in radiation and instrumental diagnostics of the Moscow Department of Health, director of the Center for Diagnostics and Telemedicine.

Analysis of more than 27 thousand medical images of patients with Yamalo-Nenets Autonomous Okrug

More than 27 thousand studies conducted by patients of the Yamalo-Nenets Autonomous Okrug (Yamalo-Nenets Autonomous Okrug) analyzed neural networks developed in the capital. This was announced on May 4, 2023 by Anastasia Rakova, Deputy Mayor of Moscow for Social Development.

Artificial intelligence analyzed more than 27 thousand medical images of patients with Yamalo-Nenets Autonomous Okrug

In September 2022, we opened the opportunity for doctors of the Yamalo-Nenets Autonomous Okrug to analyze radiation studies using algorithms used by Moscow radiologists. In May 2023, the Moscow platform HUB Telemed allows radiologists of the Yamalo-Nenets Autonomous Okrug to work with seven artificial intelligence services in four areas of research. The number of medical organizations in which neural networks are used to describe images in the region increased to 14 in six months. Since the start of the pilot project of the Moscow Department of Health to connect medical organizations in the region to the capital's experiment, more than 27 thousand radiation studies of YNAO patients - fluorography, radiography, computed tomography of the chest and mammography - have been analyzed by doctors using artificial intelligence. noted Anastasia Rakova

As reported, about 80 radiologists of the Yamalo-Nenets Autonomous Okrug joined the project in six months. Doctors use algorithms that automate routine processes and save time. Through the platform of the capital's Center for Diagnostics and Telemedicine of the Department of Health of the capital HUB Telemed, impersonal research regional clinics are transferred for analysis by neural networks, after which they are returned to the doctor for the final description. Moscow specialists accompany the process and control the quality of neural networks.

Medical image

Moscow is ready to share the accumulated experience and is open to cooperation with other regions of the country. Our specialists carry out daily scientific and analytical work on the selection, testing, implementation of developments. The use of computer vision in medicine reduces the time spent on diagnostic procedures, and also provides doctors with information to make accurate diagnoses. reported by Yuri Vasiliev, chief freelance specialist in radiation and instrumental diagnostics of the Moscow Department of Health, director of the Center for Diagnostics and Telemedicine

As of May 2023 artificial intelligence , it helps to find signs of diseases in 20 areas. The number of radiation studies processed with it exceeded nine million. About 150 medical organizations and 20 IT companies participate in the experiment. Artificial intelligence detects signs of,, lung cancer COVID-19 osteoporosis spine, aorta aneurysms , ischemic disease,,, hearts stroke pulmonary hypertension hydrothorax, as well as hernia breast cancer of the spine, flat-footedness and other diseases in images of radiation studies.

The experiment on the introduction of computer vision technologies into medicine is carried out by the Complex for Social Development of Moscow and the city Department of Information Technologies on the basis of the Moscow Center for Diagnostics and Telemedicine. It also became a platform for the development of artificial intelligence technologies in Russia, as well as to support domestic developers. The services are integrated into a single radiological information service of a single medical information and analytical system in Moscow. Thus, radiologists of all medical institutions of the capital connected to it can use modern technologies.

2022

Analysis of more than 4 thousand radiation studies of patients

More than 4 thousand radiation studies of patients of the Yamalo-Nenets Autonomous Okrug have been analyzed since the start of the launch of a pilot project of the Moscow Health Department to connect medical organizations in the region to the Moscow experiment. As of November 2022, the Moscow HUB Telemed platform allows YNAO radiologists to work with 7 artificial intelligence services in 4 areas of research. This was announced on November 29, 2022 by the NPCC DIT DZM (Scientific and Practical Center for Diagnostics and Telemedicine Technologies of the Moscow Department of Health).

Studies of regional clinics are transmitted in an impersonal form through our HUB Telemed platform for analysis by neural networks, after which they are returned to the hospital doctor for a final description. As of November 2022, 7 algorithms are available to specialists of the Yamalo-Nenets Autonomous Okrug, which help in finding 4 areas of research: a comprehensive service for computed tomography of the chest organs, two for mammography and four for fluorography and chest X-ray. This helps in the search for diseases such as osteoporosis, hydrothorax, breast cancer and others. In the first months of work, about 4 thousand radiation studies of patients were analyzed. Such technologies do not replace a doctor, but speed up diagnostics and increase its accuracy, "said Ilya Tyrov, deputy head of the Moscow City Health Department.

Five hospitals of the Yamal-Nenets Autonomous Okrug joined the project. The work is being carried out as part of the Experiment on the Introduction of Computer Vision Technologies into Medicine, which was launched by the Moscow Social Development Complex on the basis of the Moscow Center for Diagnostics and Telemedicine with the support of the city Department of Information Technologies. It has become a platform for the development of artificial intelligence technologies in Russia, as well as support for domestic developers.

As of November 2022, almost 8 million studies have already been processed by neural networks. The Experiment employs about 40 artificial intelligence services in 17 different areas. We see the results of our project with colleagues from the region - more than 50 doctors use algorithms to solve everyday problems. I note that as part of the Experiment, Moscow institutions work through the Unified Radiological Information Service, and the regions of Russia are connected through the own development of our Center - HUB Telmed. Moscow is ready to share the accumulated experience and is open to cooperation with other regions of the country, - said Yuri Vasiliev, director of the Moscow Center for Diagnostics and Telemedicine.

Availability of the Moscow platform of artificial intelligence services for the analysis of radiation research

Moscow scales the project to use services artificial intelligence to other regions - Russia now, thanks to the capital's platform HUB Telemed neuronets , they will help analyze radiation studies of patients. Yamal-Nenets Autonomous Okrug 5 have already joined the pilot project, and all hospitals other medical institutions of the Yamalo-Nenets Autonomous Okrug will soon join. This was announced on September 30, 2022. DMS Diagnostic and Telemedicine Center

The Moscow platform of artificial intelligence services for the analysis of radiation research has become available to doctors of the Yamalo-Nenets Autonomous Okrug

In Moscow, for more than two years, artificial intelligence has been helping doctors in the analysis of radiation images: as of September 2022, algorithms have already processed more than seven million studies in 15 different areas. And now we are ready to scale this project - thanks to the Moscow HUB Telemed platform, artificial intelligence services will be used in hospitals in the Yamalo-Nenets Autonomous Okrug. Studies of regional clinics will be transmitted in an impersonal form through our platform for analysis by neural networks, after which they will return to the hospital doctor for a final description. YNAO specialists will have access to algorithms that are used by Moscow radiologists, including a comprehensive service that helps to determine the signs of seven pathologies at once. Such technologies do not replace the doctor, but speed up diagnosis and optimize its accuracy. reported Ilya Tyrov, Deputy Head of the Moscow City Health Department

As reported, after the signing of the cooperation agreement, the Moscow platform HUB Telemed, which provides access to artificial intelligence services, began to use 5 clinics of the Yamalo-Nenets Autonomous Okrug: Gubkin City Hospital, Nadym Central District Hospital, Novourengoy Central City Hospital, November Central City Hospital and Salekhard District Clinical Hospital. Specialists of the Moscow Center for Diagnostics and Telemedicine accompany the entire process and control the quality of neural networks.

Yamal is one of the first regions where artificial intelligence technologies began to be introduced. Since 2018, a project has been implemented to analyze CT images, in 2021 - to analyze mammograms. Technologies allow you to optimize the quality of diagnostics and reduce the burden on the doctor. Specialists of the Center for Diagnostics and Telemedicine have competencies in the implementation and quality control of neural networks. The agreement provides for the analysis of various types of research, from fluorography to computed tomography. As of September 2022, 5 Yamal hospitals are already taking part in the project, soon we will connect all our medical institutions. told Sergey Novikov, head of Yamal health care

Neural networks help doctors find medical in the images signs of,, lung cancer COVID-19 osteoporosis spine, aneurysms of the thoracic and abdominal aorta, ischemic disease,,, hearts stroke pulmonary hypertension hydrothorax, osteoporosis as well as lung pathologies, breast cancer emphysema, arthrosis and. In flat-footedness addition, in the capital, neural networks are also introduced into the work, which recognize medical the signs of seven different pathologies at once in one image of a radiation study.

HUB Telemed appeared two years ago. With its help, doctors from other regions could get acquainted with the work of artificial intelligence services. Previously, HUB Telemed made it possible to direct single studies for processing, as of September 2022, this is a stream of impersonal medical images. The use of algorithms allows you to reduce the load, acts as an additional assistant to radiologists. noted Yuri Vasiliev, Director of the Center for Diagnostics and Telemedicine

The work is being carried out as part of the Experiment on the Introduction of Computer Vision Technologies into Medicine, which was launched by the Moscow Social Development Complex and the City Department of Information Technologies on the basis of the Moscow Center for Diagnostics and Telemedicine. It has become a platform for the development of artificial intelligence technologies in Russia, as well as support for domestic developers. Artificial intelligence services have been integrated into the Unified Radiological Information Service of the Unified Medical Information and Analytical System of the capital. Thus, radiologists of all medical institutions in Moscow connected to EMIAS were able to use modern technologies.

In Moscow, the digitalization of the healthcare system has been going on for more than 10 years, this process is based on a single digital healthcare platform. It provides personalized management of each patient at all stages - from diagnosis and treatment to follow-up. Thanks to the platform, data on the state of health of citizens are in a single digital system and are available online to both doctors and patients.