Sber Group, the state-controlled financial and digital giant, and the Skolkovo Institute of Science and Technology (Skoltech) are teaming up to create “an ecosystem for the development of artificial intelligence in Russian healthcare.”
Operated by SberMed.AI, a company established this past summer, this ecosystem will “combine the solutions designed by Skoltech research teams with Sber’s cloud-based engineering infrastructure.”
Aiming to “set the standards for using AI public healthcare,” the ecosystem will provide developers with access to “new opportunities for working with algorithms, an exclusive set of structured medical data, as well as tools for their processing.”
The initiative also aims to “optimize doctors’ work when receiving patients, improve accuracy in diagnoses, and develop the skills of medical workers.”
Among the existing assets of this ecosystem is CoBrain, a library of applications and data sets developed by Skoltech to assist medical decisions. This library includes a variety of solutions, from the analysis of fluorography images and X-rays to the detection of depression via structural MRI data.
Example of SberMedAI products and services include:
- A medical decision support system with algorithms, allowing doctors to get a second opinion about possible diagnoses.
- CT Stroke: A solution to detect ACVA according to CT images and ASPECTS score
- CT Lungs: CT analysis of the chest organs in viral pneumonia (including with COVID-19)
- Detection of breast pathologies by mammography and their classification by BI-RADS
Sources: Sber, SberMed.AI
