Translation. Region: Russian Federation –
Source: Moscow Government – Moscow Government –
An important disclaimer is at the bottom of this article.
In Moscow, an artificial intelligence (AI) service has begun automatically detecting osteoporosis in its early stages. This is a disease that causes bone density to decrease. The neural network can detect its signs in the early stages. It analyzes and identifies pathological features in CT scans performed for other clinical indications. This was reported by Anastasia Rakova, Deputy Mayor of Moscow for Social Development.
"We are consistently integrating artificial intelligence technologies into our daily practice, for example, in analyzing X-rays for various clinical indications. This approach to additional pathology screening allows us to prevent problems early, rather than dealing with the consequences. We recently introduced automated osteoporosis screening in CT scans. It detects the disease in its early stages, when a person isn't even aware of the problem, while it's developing asymptomatically. This eliminates the need for a separate examination, which reduces radiation exposure. Furthermore, we can begin treatment earlier, reducing the risk of severe fractures," explained Anastasia Rakova.
The service automatically analyzes CT scans and independently detects signs of osteoporosis. The neural network highlights all potentially problematic areas of bone tissue with red or orange indicators.
"Osteoporosis is a metabolic skeletal disease characterized by decreased bone mass and disruption of bone microarchitecture. Its insidious nature is that it often goes unnoticed until serious complications and injuries develop. These services work with existing studies and help detect important changes in bone tissue. A neural network highlights abnormal areas in a medical image, performs the necessary measurements, and generates a text description. Comprehensive AI services can simultaneously detect up to 14 pathologies in a single study. This approach will allow Muscovites undergoing examinations for various clinical indications to receive additional insurance against one of the most subtle and dangerous age-related diseases," emphasized the chief physician of the Moscow Diagnostics and Telemedicine Center. Department of Health Yuri Vasiliev.
Artificial intelligence helps doctors detect pathologies more quickly at early stages and improve the accuracy of imaging measurements. The final diagnosis is always made by a specialist, who takes into account the analysis results and the radiologist's description of the image.
Today, Moscow doctors can use over 60 AI services to detect disease signs across 43 clinical areas. Furthermore, the healthcare system uses 12 integrated solutions that simultaneously identify multiple pathologies in a single medical image. AI services have already analyzed nearly two million CT scans.
An experiment on the use of innovative computer vision technologies in healthcare has been underway since 2020. This is being carried out by specialists from the Moscow Diagnostics and Telemedicine Center. Department of Health together with the city Department of Information TechnologyThe project is in line with the goals of the Moscow healthcare development strategy through 2030 and aims to improve the quality and accessibility of medical care for Moscow residents.
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