Google's AI can now predict when a patient will die
AI is being integrated more and more in many areas of life, especially in medicine, where it will help doctors diagnose diseases more accurately.
According toBloomberg, Google's artificial intelligence system can analyze a person's medical history. From there, it helps doctors more accurately predict a patient's health, even estimating the time of their death.
According to the news agency, a woman with cancer went to a city hospital and doctors estimated that she had a 9.3% chance of dying. But Google's new algorithm said the risk of death was higher, up to 19.9%. The woman died a few days later.
Google is one of many companies trying to apply AI technology to solve some of the problems facing the healthcare industry. AI can analyze large amounts of data and perform tasks that would normally require hours of work for doctors.
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| Google's AI could help doctors diagnose patients' conditions more accurately. |
In this case, Google's AI uses neural networks, which have proven effective at collecting data and then using it to learn and analyze. According to Bloomberg, Google's technology can "predict a range of patient outcomes, including hospital readmission rates and timing of death."
Google's algorithms can access data from multiple PDF files or old charts to make predictions and identify problems that need to be addressed. All of this can help doctors make better diagnoses.
But Google’s technology raises a host of ethical concerns about how it is used and who has access to it. Decisions about patient insurance or hospital bed allocation are obvious examples of potential scenarios.
Google's system is reportedly faster and more accurate than other techniques when it comes to assessing a patient's medical history. It appears that Google wants to implement "a range of new AI tools" to accurately predict symptoms and diseases.
