According to Rakova, more than 1.5 million jobs per year are now conducted in digital format thanks to equipment upgrades and process automation. The created system not only speeds up diagnosis, but also allows the data to be used to train artificial intelligence that will help doctors analyze images.
The new system also solves logistical problems by allowing peer review in real time and highlighting diagnostic features on the computer screen. This significantly shortens the time to make a diagnosis, making the process more efficient and accessible for patients in Moscow oncology clinics.
Source: Ferra
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