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Google devised an AI system that can accurately predict when you die
Technology is now a part of our lives, with companies like Google learning more about us every day. Most of its services involve AI mechanisms that take a look at what we do to offer us predictions and suggestions. A recent report suggests that Google is expanding its AI services to the medical domain, with the machines making disquieting predictions. This system apparently is able to predict when you die.
The algorithm combines medical data with AI predictions
Google has taken over most fields, using AI algorithms to make our life easier. Now, the Medical Brain division started working on a really ambitious project that should merge AI systems with medical research. For this system, researchers will be using basic machine learning technology, pair it with predictive algorithms, and predict when you die. For instance, doctors might use this to tell how long a hospitalized person will survive.
Google actually tested this algorithm on a patient with terminal breast cancer. Based on the observations of the doctors, the hospital machines predicted a 9.3 percent chance of death. Afterwards, they tested Google’s AI, which indicated a chance of 19.9 percent. As a result, the woman died only a few days later.
This system can accurately predict when you die
Here’s how this system can predict when you die. It begins by sifting through general medical data and then comparing them with patient measurements. This way, it can identify potential health problems you might have and say how dangerous they are. In the breast cancer case, the same process would have taken a lot longer if performed by the medical personnel.
The great thing about this algorithm is its quickness and accuracy. It accesses big amounts of data with more ease and speed than humans and then offer accurate results. This algorithm cannot only predict when you die. If you’re not that sick, it can tell you how much you will stay in hospital, or if you’re likely to develop new health problems.
Image source: Pixnio
