Artificial intelligence predicts the date of death: humans are expected to live longer

The famous poem of the Welsh poet Dylan Thomas is a strong description of the inevitable death. Although this emotion is poetic, the reality is far from simple.

Don't walk gently into that good night

Older people should burn roaring during the sundial

Angry

Angry

The demise of light

人工智能预测死亡日期:人类有望活得更久

We will die sometime and at some point, which may have been a mystery to us until the mystery is revealed, or not, researchers are now applying artificial intelligence, especially machine learning and computer vision, to predict a certain When people will die, the ultimate goal is not to play the role of death, just like the terrible science fiction machine in the death universe, but to treat and even prevent chronic diseases and other diseases.

A recent study on precision medicine for precision medicine used a ready-made machine learning platform to analyze 48 chest CT scans. The computer was able to predict which patients would die within five years, with an accuracy rate of 69%. This article was published in A. A scientific report by a research team led by the University of Delaware.

人工智能预测死亡日期:人类有望活得更久

In an e-mail interview with SingularityHub, radiologist and doctoral student Okdner Reiner said that a clear benefit of using artificial intelligence in precision medicine is to detect health risks earlier and possibly intervene. He added that what is less obvious is that it is the basis for accelerating longevity research. He explained: "At present, most studies on chronic diseases and longevity require a long period of follow-up to find the difference between patients and patients without treatment, because the disease progresses very slowly, if we can get earlier By quantifying these changes, we can not only identify the disease, but also intervene more effectively, and we can find treatment response earlier, he added, which may lead to faster, cheaper treatments if we can Shortening the time between the lab and the patient by one to two years will greatly accelerate progress in this area."

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