Moscow scientists have announced that artificial intelligence now helps to find ischemic stroke on a CT scan of the brain In Moscow

In Moscow, advanced artificial intelligence is now capable of identifying signs of ischemic stroke on Head CT scans. Neural networks are being used to detect pathologies in 20 modalities, utilizing 48 algorithms. The development of diagnostic tools based on artificial intelligence has accelerated, with the number of areas where the algorithms are currently operational having doubled in less than a year.
Artificial intelligence continues to expand rapidly and a new computer vision algorithm is now available to Moscow radiologists in city hospitals. It analyses computed tomography scans of the brain to identify early symptoms of ischemic stroke. Computed tomography is a critical examination method for diagnosing cerebrovascular accidents, and the detection of ischemic stroke is particularly important in this context. Early identification of the disease is crucial for providing timely and specialized medical care to patients. Artificial intelligence can speed up the process of assessing brain damage, providing radiologists with an important assistant to help automate the diagnosis process.
The experiment on the introduction of computer vision technologies has been carried out on the basis of the Center for Diagnostics and Telemedicine of the Moscow Health Department together with the Department of Information Technologies for 3 years. Today, it employs 48 artificial intelligence services from 20 development companies.
Artificial intelligence continues to expand rapidly and a new computer vision algorithm is now available to Moscow radiologists in city hospitals and polyclinics. It analyzes computed tomography scans of the brain to identify early signs of ischemic stroke. Computed tomography is a critical examination method for diagnosing cerebrovascular accidents, and the detection of ischemic stroke is particularly important in this context. Early identification of the disease is crucial for providing timely and specialized medical care to patients. Artificial intelligence can speed up the process of assessing brain damage, providing radiologists with an important assistant to help automate the diagnosis process.
The Center for Diagnostics and Telemedicine of the Moscow Health Department and the Department of Information Technologies have carried out an experiment on the introduction of computer vision technologies for 3 years. Today, it employs 48 artificial intelligence services from 20 development companies. Algorithms with high accuracy in diagnosing ischemia can significantly speed up the diagnosis, even in emergency hospitals focused on urgent vascular pathology. The introduction of smart assistants has made it easier for radiologists to detect signs of lung cancer, COVID-19, osteoporosis of the spine, thoracic aortic aneurysm, coronary heart disease, hemorrhagic and ischemic stroke, pulmonary hypertension, hydrothorax, pathologies of the lungs, breast cancer, and flat feet.
For over a decade, the healthcare system in Moscow has been undergoing digitalization based on a single digital healthcare platform. It offers personalized management of each patient at all stages, from diagnosis and treatment to follow-up. Artificial intelligence services are integrated into the Unified Radiological Information Service of the Unified Medical Information and Analytical System of the Capital. The platform provides radiologists from all medical institutions in Moscow connected to EMIAS with access to innovative technologies. The health status of citizens is in a single digital system and is available online to both doctors and patients.