Googles’ AI Tools Can Predict Death Risks More Accurately Than Hospitals

The future is here and now, with technology booming and being created to perform the simplest of tasks. However, that’s not the case for Google’s new revolutionary invention, created to help hospitals treat their patients, saying its artificial intelligence computer system is 95 percent accurate when predicting the fate of hospital patients within 24 hours of admission.

Here at Blue Whale Media, we’re keen to keep you up to date on all revolutionary breakthroughs in modern technology. We’re passionate about new developments in the technological industry and this is one that will benefit everyone in the near future.

What Does It Mean?

The tool can forecast a multitude of different outcomes, including predictions on how long the patient will stay in the hospital, the odds of them being re-admitted and death risk probabilities.

It means that hospitals will be able to determine the probability of how long a patient has left to live due to their current state, is able to scour lost PDF’s and charts on the patients record and make a guess according to the information that it finds. It has been proven to be faster and more accurate than current existing techniques.

The Benefits

In one of the cases, doctors predicted that a woman with breast cancer arrived at a hospital in critical condition. Doctors predicted that the woman had 9.3% chances of dying during her stay. However, Google’s new algorithm predicted that the risk of her death was 19.9%. Unfortunately, the women died a few days later.

From this case study, it shows just one case where the new algorithm was increasingly more accurate than a doctor’s own predictions. The benefits of this new development are an endless list, but it’s safe to say that there seems to be a lack of disadvantages to this new discovery.

The Disadvantages

Forecasting death is an undoubtedly terrifying concept, especially as the algorithm is so certain. The future looks bright with this new development, as it can really help boost the prediction of patient’s health at a faster rate, meaning a reduce in the human hours required by one person to perform.

On the other hand, this new technology raises ethical concerns over who will be able to gain access to the algorithm and how it will be used. Almost like it’s too much power for one man to handle!

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