Russia Uses AI Technology To Detect Malignant Tumors And Lung Diseases

JAKARTA - The development of technology is increasingly beneficial for all industries, especially health. Therefore, modern technology such as artificial intelligence (AI) is often used in the medical field to help assess the level of lung damage, identify malignant tumors, and be used in the development of new drugs.

Citing EhackingNews, Thursday 22 July, via the Russian platform Botkin.AI, the company's system enables the detection of lung cancer through analysis of medical images using artificial intelligence technology in the Microsoft Azure cloud.

The solution has been successfully implemented in several areas of the country. Russia also has the UNIM digital histological laboratory, which examines histological material using neural networks to make the correct diagnosis.

According to the director of development of the Webiomed project, Alexander Gusev, the biggest competition in Russia is in the field of image processing, especially in the analysis of lung tomograms for the diagnosis of COVID-19. The second popular field is speech recognition and information synthesis.

One of the main problems with AI is that market participants often don't understand how much a particular development costs in day-to-day medical practice.

Another, is a matter of law. Russian law defines that AI software is a medical device and must undergo lengthy and expensive registrations.

It should be noted, however, that now only six AI systems in Russia have been registered as medical software. According to the general opinion of experts, doctors do not easily agree to the introduction of AI.

“When we asked about doctors' attitudes towards innovation, they were simply delighted and expressed a desire to work with AI. However, about 2.5 to 5 percent of managers and doctors use AI products all the time,” said Gusev.

At the same time, it does not take much time to understand the technology. AI development is often similar to conventional computer program interfaces.