The artificial intelligence determines the date of death!

When will I die ?! A question that many believe, and perhaps even scientists have the power to answer, after researchers have developed an artificial intelligence model that can determine "very precisely" the date of death of adults with chronic diseases.

Researchers at the University of Nottingham and Imperial College London have resorted to artificial intelligence to predict the last days of a chronic illness. Scientists have used many models of artificial intelligence to analyze patient health data to predict the risk of premature death.

According to the US Life Science website, the most sophisticated artificial intelligence model identified the risk of early fatal death in 76% of patients, while traditional algorithms only identified approximately 44% patients with a lower life expectancy risk.

"We have taken a big step forward in this area by developing a unique and comprehensive approach to predicting the risk of premature death through automated learning," said lead researcher Stephen Wong. "We use computers to create new risk prediction models that take into account a wide range of demographic, biometric, clinical, and lifestyle factors for each person assessed, and even their daily consumption of fruits, vegetables, and vegetables. meat, "said the assistant professor of epidemiology and data science. . "

"More precise"

Scientists and physicians have used data from half a million Britons to develop a program that predicts the risk of premature death between 2006 and 2016. About 14,000 of these participants died early, mainly as a result of Cancer, respiratory diseases and heart disease. Weng said that artificial intelligence models were "much more accurate" to predict premature deaths, according to the scientific site.

Everything is taken into account, from the patient's family history, from the diseases that he undergoes and even from the amount of salt that he takes and from the use of the drug. The researchers found that the artificial intelligence system was about 10% more accurate than current estimates, according to the British Daily Mail website, which also published the study.

The effectiveness in all cases?

Professor Joe Kay, director of the study, said that the use of artificial intelligence or computer-based learning aroused a keen interest in better predicting health outcomes. In some cases this may help and in others it may not be helpful.

Scientists expect artificial intelligence to play a vital role in the development of personal medicine. Further research is needed on the effectiveness of automated learning in other population groups, as well as on how to integrate artificial intelligence into care. daily health, they add.