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xamination of changes in cells, tissues and organs) has replaced traditional glasses and blocks with digital images. Now doctors study patients' biomaterial on a computer screen, whereas previously they used a microscope. This has expanded the field of view, increased the resolution and allowed for scaling the image. Digital copies are automatically uploaded to a system accessible to all connected oncology hospitals in the city - they can be seen by specialists from all institutions included in the circuit.

As Anastasia Rakova explained, collecting tunisia whatsapp resource data in a single database will allow the creation of the largest specialized archive for training artificial intelligence (AI), which will help doctors make diagnoses.

Doctor Nearby Elena Kuznetsova believes that the creation of such an archive could take 5-10 years, given the volume of data and the time required to accumulate and process it. Product Director of the Third Opinion Platform Natalia Pestova believes that the data set could be collected within a few years, since a lot of research is being conducted in Moscow and the Moscow Region.

"In some areas, we are already seeing an improvement in the quality of diagnostics, because artificial intelligence systems and services, which are being tested in centralized pathological anatomy departments in Moscow, are designed to compensate for some errors and features of the human brain. Artificial intelligence systems do not get tired, they do not need breaks for eating, they can work even when we sleep," commented Nikita Savelov, chief freelance specialist of the Moscow Department of Health for pathological anatomy in oncology, on the use of AI in oncology diagnostics.

He added that AI does not form a conclusion, but only helps a person make a decision and performs monotonous actions for a doctor. According to him, the final decision will remain with a person for a long time.

"Doctors already trust AI much more and are confident in it," added Natalia Pestova. She explained that AI services have proven themselves in clinical practice in decoding medical images. Reducing the doctor's routine workload can reach 30% or more.

"The bottleneck" for the use of AI services in pathomorphology remains the mass transfer of research into digital format, since "digital analyses" - pathomorphological scans - require a large amount of storage and computing resources for their processing," explained Natalia Pestova.

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Healthcare is going digital
In 2024, the main trends in the healthcare sector in Russia will be digital transformation and the introduction of artificial intelligence (AI). By the end of 2024, each region of the country will have at least three medical products with AI.

Also, thanks to digitalization, doctors at oncology clinics can conduct a collegial review and discussion without the need to deliver glass slides.

"It is becoming easier to conduct research collaboratively; now we can share images of preparations with each other, study them together and mark the changes on the monitor screen that led to the diagnosis. This opportunity allows us to better standardize research, improve its quality and facilitates the training of new specialists - students, residents, young doctors," said Nikolai Karnaukhov, head of the pathological anatomy department of the Moscow Clinical Research Center named after A.S. Loginov.

Nikita Savelov reported that the digital transformation of pathological diagnostics of oncological diseases in Moscow has been completed.

Elena Kuznetsova said that the project to unite pathomorphological departments into a single digital circuit has important achievements, such as improving the quality of diagnostics and accelerating treatment, but there are also disadvantages. They are associated with high costs for equipment and staff training, and there are also cybersecurity risks.