Experts at Stanford University have developed a robot to predict death

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Experts at Stanford University have developed a robot to predict death

Artificial Intelligence (AI) Everything is becoming possible. Scientists at AI have even been able to create robots that can predict when a person will die.

According to an international news portal, researchers at Stanford University have developed a machine learning algorithm that predicts human deaths and is 90 percent accurate.

The algorithm developed in it has been trained using a record of 2 million patients. This AI develops a pattern that the doctor cannot detect and by adding the same pattern can determine the time of death of the patient.
This may sound like a science fiction story to you, but it has been turned into a reality by Stanford researchers.

He says the purpose of creating such an AI is to ensure that no one’s death is painful. The procedure is said to be designed to prevent patients from dying at the expense of others.

Investigators say the procedure was introduced so that patients would not have to spend too much or have too many problems and could leave peacefully once they knew when they would die.

According to a US study called ‘Improving Palliative Care with Deep Learning’, 80 percent of people want to spend their last hours at home.

Similarly, 60 percent of the people have spent their last days in very expensive and difficult treatment. This search also lets you screen what options can be used to save people. It was investigated by six people from Stanford University for fatal patients.

Using this research, the patient is asked if they would like to receive any treatment or if they would like to spend the last time in peace. This process is now called Machine Learning Plus Doctor. One of the problems with this measure is that it does not show how the patient dies this year and only says death.

At times, even its creators have not been able to figure out why the deep learning model has given this result. This process also allows you to see when an organ transplant can be made available to any patient who is on the waiting list for an organ transplant. Since doctors can’t make accurate predictions every time, this technology helps.

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Rabins Sharma Lamichhane

Rabins Sharma Lamichhane is the owner of RabinsXP who is constantly working for increasing the Internet of Things (IoT) in Nepal. He also builds android apps and crafts beautiful websites. He is also working with various social services. The main aim of Lamichhane is to digitally empower the citizens of Nepal and make the world spiritually sound better both in terms of technology and personal development. Rabins is also the first initiator of Digital Nepal.

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