AI and medicine in 2020. An analysis of the current situation with the use of AI in medicine shows that, as a rule, AI solves such problems
• Classification. Determination of the risk group of the patient according to his general data
• Recognition. Identification of pathology on diagnostic images.
• Prediction. Identification of patients who need to start treatment now or take preventive measures to prevent a possible disease in the future.
First of all, AI is in demand for performing routine operations, for example, analyzing a large stream of images of the same type. This will help doctors quickly analyze the situation and make an informed decision on treatment tactics. Working with big data analytics BIG DATA allows you to correctly predict the development of certain events. The speed of such predictions is increasing.
This is the requirement of the time. The processing of big data allows epidemiologists to work out the speed and direction of the spread of epidemics. For example, recently one of the well-known AI platforms issued a timely warning about the spread of the future coronavirus from China and even correctly predicted the likely path of the virus from Wuhan to Tokyo.
This data processing and the use of AI allows the generation of disease warnings faster than the diseases themselves spread. The use of data obtained by experts allows to know in advance about the outbreak of the disease and its spread in the regions. The speed of research is the requirement of time.
With regard to the current coronavirus outbreak, the source was identified within a week of the public announcement and the first diagnostic test was developed fairly quickly thereafter.The genome of the Wuhan virus has been fully identified by Chinese scientists in less than a month since the discovery of the first case of the disease. Another company has announced that a portable laboratory with a chip will enter the market by February 1st.
This lab will be able to quickly confirm infection. Today, the customer and investor are interested in a specific solution and a full-fledged product with clear functionality, the fulfillment of the task and the project schedule. In itself, the use of AI in a promising development or product is no longer a sufficient basis for interest for a customer or investor. He is interested in the availability of real implementations, the accuracy of measurements, the confirmation of tests in scientific articles and papers, the ability to start a project tomorrow and finish it within a clearly defined time frame.