AI-based Services in Radiology
‘Artificial Intelligence in Radiology’ is an experimental project involving the application of AI-based computer vision technology in the healthcare system of Moscow for the analysis of medical images. AI identifies possible pathologies in radiographic images, highlights them and helps the doctor diagnose the disease.
The practical clinical testing of AI in radiology took place during the first wave of the coronavirus pandemic in the spring of 2020. According to the first results of the experiment, AI algorithms help doctors not to overlook the possible pathologies in a large amount of radiologic studies and perform routine tasks to speed up diagnostic procedures.
Artificial intelligence is integrated into the radiological information service of EMIAS (ERIS EMIAS), which unites all radiology departments into one network.
As part of the experiment, AI analyzes the following types of imaging tests:
- The project was launched in 2019
- Since the launch of the experiment, more than 8 million radiological images were processed
- In 2020 the AI-powered services processed over 1.5 million images
- During the peak of the coronavirus pandemic up to 30,000 medical tests were performed every day
- More than 40 AI-based services detect pathologies in 17 areas of diagnostic tests
- The complex AI-based service can detect algorithms signs of 8 pathologies in one CT scan of the chest
- Since its launch, the AI-based service has analyzed more than 120,000 CT scans
- 1,300 diagnostic devices automatically send radiological images to ERIS the for analysis conducted by AI-based services
- The neural networks are available to radiologists of 150 medical institutions, including children’s medical centers
The project became the winner of the Runet Prize in the ‘Medicine and Healthcare’ nomination
The ‘Computer Vision Technology for Medical Image Analysis’ project was awarded the diploma of the XIV international review competition of urban practices of the cities of the CIS and the EAEU ‘The City We Want to Live In’
The ‘Artificial Intelligence in Radiology’ project became the prize winner of the international Quality Innovation Award in the ‘Health care sector innovations’ category
The ‘Artificial Intelligence in Radiology’ project became the finalist of the Go Smart Awards (2022)
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