Moscow Expands AI-Enabled Healthcare Services
Significant advancements have been made in the realm of artificial intelligence services in Moscow. AI-enabled technology can now detect up to 10 pathologies simultaneously on a single CT scan, significantly expanding diagnostic possibilities. Anastasia Rakova, Moscow’s Deputy Mayor for Social Development, highlighted the algorithms’ effectiveness in aiding doctors in identifying adrenal masses on CT scans.
The introduction of computer vision technologies in radiology has prioritized the development of integrated solutions based on AI. Already, two complex services have been successfully launched, capable of identifying multiple pathologies on a single scan. Most recently, the neural network has acquired the ability to recognize adrenal masses on chest CT scans. This breakthrough allows for the identification of up to 10 deviations within a single image, enabling the diagnosis of additional pathologies in patients seeking treatment for unrelated ailments. Since the launch of the integrated AI service, over 270,000 medical images have been analyzed, greatly assisting healthcare professionals in their work.
In addition to the detection of adrenal formations, AI-powered algorithms can simultaneously identify indicators of lung cancer, COVID-19, osteoporosis, spinal compression fractures, thoracic aortic aneurysms, pulmonary hypertension, hydrothorax, pulmonary emphysema, coronary heart disease through coronary artery calcification degree assessment on CT scans, and paracardial fat volume. The AI algorithms utilize color cues to mark areas of potential pathologies on medical images. The neural network automatically performs crucial measurements required for accurate diagnoses and generates comprehensive descriptions. Computer vision technologies have the ability to detect pathologies at an early stage, often imperceptible to the human eye.
For over a decade, Moscow has been at the forefront of digitizing its healthcare system. Since 2020, the integration of smart algorithms has greatly assisted doctors in identifying abnormalities in X-ray images, as part of a larger initiative to incorporate computer vision technologies in the city’s medical institutions.
By leveraging AI automation, healthcare professionals radiology experience increased productivity, leading to enhanced accessibility to medical care for patients. Moreover, this project fosters the growth of the artificial intelligence services market within the healthcare sector. The endeavor is being executed through the collaborative efforts of the Center for Diagnostics and Telemedicine of the Moscow Healthсare Department and the Department of Information Technologies.