AI microscope benefits humans and recognizes malaria mutant parasites in 20 minutes
Malaria is often the most troublesome thing for people. It is understood that in today's era, many people have malaria that cannot be cured or cannot be cured because the source of the disease cannot be found. Now, the release of the AI ​​microscope is simply for the benefit of mankind.
According to the World Health Organization, 3.2 billion people are at risk of malaria every year, resulting in about 198 million cases of malaria (with an uncertainty ranging from 124 million to 283 million) and an estimated 584,000 cases of malaria deaths (unsure The range is 367,000 to 755,000). In countries in less developed regions, the prevalence and mortality of this disease is surprisingly high, with nearly a million people dying every year from malaria, and researchers estimate that nearly half of the world's population is at risk of being infected. A large part of this is due to the lack of professional disease diagnostics in these areas.
However, with the development of artificial intelligence, this situation is expected to improve. Recently, the reporter learned that the Chinese company McAudi announced that it has cooperated with the Global Good Foundation supported by the Bill Melinda Gates Foundation to launch a microscope EasyScan Go for malaria detection. This is not an ordinary microscope, but a Artificial intelligence-driven microscope. Using custom image recognition software, EasyScan Go can identify and count malaria parasites in blood samples within 20 minutes.
“Malaria is one of the most difficult diseases to identify on a microscope slice,†said David Bell, Global Good Global Technology Director. “We can overcome two main problems by having lab technicians operate artificial intelligence microscopes. Obstacles are used to combat mutated parasites – improving diagnosis in case management and standardizing cross-regional and temporal identification.
The co-developed AI microscope will greatly reduce the labor cost of malaria detection after mass production. The artificial intelligence microscope can be used to automate the detection process in underdeveloped areas, effectively alleviating the shortage of professionals caused by lack of resources.
I believe that artificial intelligence will make the world a better place!
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