AI solution that identifies abnormalities on chest x-rays for faster, more accurate diagnosis
How does it work?
The algorithm analyzes radiographs, detects and highlights pathological changes in the image, and generates a preliminary conclusion for the physician. One study takes less than 8 seconds to process.
Based on the results, the system generates a conclusion and provides a research report. The algorithm detects signs of pathologies: focal shadows, annular shadows, dissemination, pleural effusions, petrificates, pneumothorax, cardiovascular pathology, fractures, changes skeletal changes, foreign body
How the service works
Chest x-ray is based on InсeptionV3, Inсeption ResNet-2, ResNet-50 neural networks. They use image recognition to mark samples up according to a certain algorithm, learning on large datasets from x-ray and medical reports. Neural networks are supplemented with a specific environment for their interaction with users.
Accuracy of pathology detection > 95%