Neural networks in Moscow clinics have learned to identify four more pathologies from X-ray images. In total, the number of sores that the AI sees and describes has increased to 39.
Among the new ones: pneumothorax, changes in the axillary lymph nodes on a chest CT scan, fracture of the vertebral bodies on a radiograph of the musculoskeletal system. The neural network also automates routine measurements of brain pathology on magnetic resonance imaging. Algorithms study patients' X-rays, record everything on a chart, and help doctors identify problems early. The feature is becoming more accessible every day to residents of all districts of the capital.
Everything is positive: patients receive treatment faster, and the quality of medical care improves.
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