New technologies, which are being improved literally from one day to the next, are not only beneficial in the sphere of IT and innovation. To a significant extent, this industry also participates in the healthcare industry, a perfect example of which can be the use of artificial intelligence to detect and detect the initial stages of diseases and health problems. While the company Apple trying to introduce the excellent functions of a smart watch into the daily life of users Apple Watch, Google is drawing much more powerful weapons. A new technology using machine learning elements of artificial intelligence has the task of searching for cancer cells. LYNA or if you prefer Lymph Node Assistant has the task of detecting cancerous cells in the case of breast cancer. Interestingly, the success rate in this case reached an incredible 99%.
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The artificial intelligence system is able not only to detect the presence of cells but also to locate them in the body. Although the latest algorithm is focused on metastases associated with breast cancer, according to engineers and leading scientists, it is also capable of detecting other related threats in the human body. The company tries to invest in this research maxinitiative, as up to 62% of diagnoses associated with breast cancer are misdiagnoses. This study was published by the JAMA Journal of Medicine, and if successful, it could be a real revolution in the fight against this widespread disease.
The LYNA system from Google will probably not replace real doctors in the near future, but it represents a significant contribution to science and technology in detecting and helping to diagnose diseases. Machine learning will provide a kind of "advisor" in determining the diagnosis and improving the assessments by doctors and specialists. Doctors who had the opportunity to use the LYNA system in their work note that thanks to artificial intelligence, the overall process of detecting and detecting tumors will not only speed up, but also make the overall process of the beginnings of treatment more efficient. Similar innovations, however, still have a long way to go, so the potential adaptation of artificial intelligence to modern healthcare is still only distant music of the future.
