The Russian doctors began to use the artificial intelligence distinguishing pneumonia in pictures
Customers: MIAC of the Yamalo-Nenets Autonomous Area (YNAA) Salekhard; Government and social institutions Contractors: VK Digital Technologies (formerly Mail.ru Digital Technologies), Intelligentzhik (TeleMD) Product: Botkin.AIНа базе: Artificial intelligence (AI, Artificial intelligence, AI) Project date: 2020/04
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In mid-April 2020 Medical Information and Analytical Center of the Yamal-Nenets Autonomous Okrug , he announced the beginning of use artificial intelligence recognizing pneumonia in nurses. We are talking about a platform Botkin.AI that will help doctors in the fight against the pandemic of coronavirus. COVID-19
To work, Mail.ru Cloud Solutions provided the developer with cloud servers, which will scale the project to several thousand clinics throughout the country. They will be able to implement this system for free.
According to the developers, Botkin.AI will help reduce the burden on doctors during the spread of COVID-19 and reduce the likelihood of medical errors. The AI system detects and marks in lung images signs of pneumonia, which is a symptom of a severe course of the disease.
It is noted that the analysis of the medical image takes from a few seconds to several minutes. Images of patients in whom the system suspected pathology will be marked in red, explains Olga Belorus, head of the Medical Information and Analytical Center of the Yamal-Nenets Autonomous Okrug.
The doctor may prioritize working with these patients. It is not a fact that these doubts will be confirmed, but this will be a priority for the doctor. First of all, this gives the time won for the health of patients, "she said, adding that the advantage of the program is its ability to quickly process all digital images and give the result to doctors. |
Ilya Letunov, head of Mail.ru Cloud Solutions, said that the company's cloud infrastructure will allow Botkin.AI to be implemented in the maximum number of clinics, "which means helping as many doctors and patients as possible." The cloud platform integrates with clinic information systems.[1]