Accelerated the interpreting of CT scans of lungs
КChest CT is the first-choice diagnostic imaging technique in patients suspected of having viral pneumonia caused by COVID-19, helping identify lung damage rate and need for hospital care.
Outpatient clinics were overwhelmed during the pandemic — patients had to wait in long queues to have chest CTs, obtain their screening results and treatment recommendations. However, when you have lung damage, every minute counts.
To somewhat ease the pressure, we needed to automate part of the routine and make CT results and diagnosis available online.
Sber ecosystem companies SberHealth and SberCloud designed a solution to interpret CT scans much faster than usual. A chest scan can simply be uploaded to a website by an MD or a patient, and in a matter of five to ten minutes you can see the lung damage, if any, and how severe it is.
The speed was achieved due to AI algorithms and the computing capacity of the Christofari, Russia’s fastest supercomputer.
This project by Sber was awarded as the Best Digital Solution in Healthcare at Comnews Awards 2020: Digital Technology vs COVID-19..