Scieists have developed a new productive artificial ielligence tool called “Delphi-2m” that can predict the risk of people with more than a thousand differe diseases in the next twey years.
According to the Guardian, the new Delphi-2M artificial ielligence processs a person’s medical history as a large language model that reads the text. Delphi-2m every medical diagnosis considers any importa health eve and even lifestyle factors such as cigarette or obesity as a “word” or “token” in a long seence.
By learning the patterns in the medical records of millions, this artificial ielligence learns which “words” normally appear after other words and can even predict the approximate time of their occurrence. Built based on the modified GPT-2 architecture, the model has been able to prove its ability by training about 6,000 people in the UK and then testing on 1.2 million in Denmark.
Delphi-2m Artificial Ielligence to predict the disease
The results show that Delphi-2M in short-term health forecasts has achieved 2 % accuracy, and this accuracy will remain at 2 % for the next decade forecasts. This accuracy is recorded while simultaneously evaluating the eire spectrum of human diseases; The advaage that distinguishes it from curre tools such as “QRisk” that predicts only one particular disease (such as myocardial infarction).
Despite the remarkable performance, this tool also has some limitations. For example, the accuracy of predictions for a 5 -year horizon decreases to about 2 to 5 perce, as many factors can change the situation over the past two decades. The data used to train the model have also been collected mainly from white, educated and relatively healthy people in the UK. This creates bias, and for use in more diverse populations, the model requires validation with wider data.
However, paties may enjoy the benefits of this tool over the next few years. Researchers imagine a future in which the doctor can tell the patie, “These are the four main risks of your health in the future, and you can do these two things to change the situation.”
Now, Delphi-2m is a research tool and is not publicly available. The findings of this study have been published in the journal Nature.
