It is possible to predict earthquakes sometimes. But how many times a heart attack can happen, it is beyond our control, for now.
But this time it is possible to predict a heart attack. 5 years ago!
It can be said, whether there is a heart attack, whether there is a leak in the heart valve, or how likely it will be in the next few days! How much it can be 'masseuse', can be ignited too long!
No X-ray for that. Doppler sound effects do not even try to understand it. Just seeing the eye, it will be possible to anticipate the retina appearance, character, behavior, and predictable heart attack for a long time.
This innovative method has been discovered by a Google 8-member team of researchers. An Indian scientist, Avinash B Bardarajan, is in the research team of Google's headquarters in Mountain View, California. One of the main researchers, Artificial Intelligence Specialist Li Peng
The research paper has been published in the journal 'Nature-Biomedical Engineering'. The title of the paper- 'Prediction of cardiovascular rascal facts from retinal fundus Via deep learning'. It will be possible to predict through an artificial intelligence software created by Google's researchers.
After a retina, the body has been diagnosed for a long time. Doctors have been testing retina for many days as a primary way to understand high levels of diabetes, high blood pressure and cholesterol. Even in the case of some types of cancer, initially the retina test is going on. If so, where is this research's novelty?
Responding to the query sent by Anandabazar, the only Indian member of the e-mailed researcher from Google's headquarters in Mountain View, California, Avinash V Bardarajan writes, "Retina is examined that the diseases have been lodged in the body, initially to be sure of it or how much these diseases have consolidated To understand the patient, Seeing the first retina of our software, we can predict the disease like a heart attack. "
How is that software made?
One of the main researchers, Lee Peng, replied in response that they made a specific mathematical formula or 'algorithm' based on information related to the health of 2,84,435 patients. Their retina pictures analyzed. The artificial intelligence software was built with that information.