Care Mentor AI, a resident of the Skolkovo Foundation’s Biomedical Technologies Cluster, registered the Care Mentor AI neural network system software with Roszdravnadzor (registration certificate RZN 2020/11137) as a medical device.

The computer vision system analyzes the medical radiation image, determines the probabilities of pathologies and visualizes the findings. This mode allows doctors to more quickly focus on the areas of interest in radiological examinations, reduce the time for making the final diagnostic decision, and, as a result, increase personal efficiency and productivity. Care Mentor AI can be used to automate the diagnostic process across the department and the entire medical organization.

Ilya Plisko, General Director of Care Mentor AI: “For us, obtaining a registration certificate is a sign of great trust on the part of the state in AI services in general and in our platform in particular. Now we can fully work with government clinics, hospitals and clinics and help doctors throughout the Russian Federation, removing part of the routine work from them. Our service automatically generates a doctor’s worksheet with the prediction of pathologies. ”

The technical and functional feasibility of the system has been proven in an experiment on the use of innovative technologies in the field of computer vision to analyze medical images. technical and clinical trials, as well as during application in the Moscow health care system. After receiving the registration certificate, the company is ready to scale its technologies, including at the federal level, as part of the implementation of the national project on digitalization of healthcare.

Yulia Shcheglova, project manager of the Skolkovo Foundation’s Biomedical Technologies Cluster: “Obtaining a registration certificate from Roszdravnadzor is a major breakthrough for Care Mentor AI and another significant step towards digitalization of Russian medicine using artificial intelligence. The Foundation’s resident platform will become an indispensable assistant to radiologists, help doctors analyze images faster and more accurately, which is so important now during a pandemic. ”