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Sberbank’s new service makes diagnoses using neural networks
SberZdorovye, SberMed AI and the Artificial Intelligence Laboratory, which are part of the Sberbank group, have launched a new online service for making a preliminary diagnosis using algorithms based on neural networks.
To get advice, the user needs to list the symptoms in an online service in a free form. After processing the received data, the system will offer the three most probable diagnoses. The SberZdorovye company noted that the accuracy in making a diagnosis varies from 75 to 91%, depending on how detailed the user has described the symptoms.
To train the neural network, the developers used more than 4 million established diagnoses in anonymized form. At the moment, the algorithm is capable of making 265 different diagnoses, which covers 95% of all possible diagnoses of Russians, which are made at the first visit to the hospital. The company noted that the presented system functions only on the basis of machine learning and relies on the expertise of hundreds of thousands of doctors.
Users can interact with the new service for free. The developers position it as a tool that will help to understand whether a person needs to seek help from doctors. After receiving the diagnosis, the service will offer to consult with a real doctor remotely or make an appointment at the clinic through SberZdorovye. In the near future, the online service will be able to assess the likelihood of coronavirus infection by symptoms.
It is worth noting that the website of the service says that the consultation is not a medical service, and the information provided “is purely informational and probabilistic in nature and is not a diagnosis.”. This means that after receiving a probable diagnosis from an online service, you should not immediately self-medicate, it is better to seek help from real doctors.