Artificial intelligence algorithms for measuring eye diseases, or the first major application of AI in the medical community

Release date: 2018-02-09

According to the recent online news of the British "Financial Times", after the "Apha Dog", Google's artificial intelligence subsidiary - "DeepMind" has successfully trained an artificial intelligence (AI) algorithm to detect diseases. Human experts are faster and more efficient, and this is the first major application of AI in the medical field.

In May 2017, when the most well-known artificial intelligence of "Deep Thinking" - "Apha Dog" defeated Go World champion Ke Jie, the company announced that this program will no longer participate in the competition of man-machine war. The team's next step is to develop a wide range of algorithms for application, the most important of which is the introduction of AI that can "provide disease treatment options." Subsequently, the company reached an agreement with the UK's universal health care system and a two-year collaboration with one of the world's best-known eye hospitals, the London Moore Eye Hospital.

Now, Deep Thinking has developed artificial intelligence to diagnose diseases by analyzing medical images. The team processed thousands of 3D retinal scans and trained an artificial intelligence algorithm to detect eye diseases. These images provide massive amounts of data for millions of pixels. The new algorithm learns to analyze these data and look for signs of glaucoma, diabetic retinopathy, and age-related macular degeneration, which are more than the judgment of human experts. For quick and efficient. Researchers at the Mofi Eye Hospital believe that this outcome will benefit patients around the world and help humans eliminate “blindness that can be avoided”.

The “Deep Thinking” company has submitted the report to medical journals. If peer review is conducted, relevant technologies are expected to be put into clinical trials within a few years. Team members said that in the field of medical imaging, people can see real significant progress in artificial intelligence in the next two years.

Source: Technology Daily

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