It is truly frightening to know how and when we leave this world and leave behind everything that connects us to what we call life.
According to researchers at the University of Adelaide in Australia, the software they developed, a system based on artificial intelligence, can predict whether a person will die or not with an accuracy of 69%, simply by analyzing the images of a person's organs.
The software analyzed images of organs in 48 patients and was able to predict which patients would die in five years with almost 70% accuracy.
We all die, but know when and how, is an enigma
The highest success rate was found in patients suffering from chronic diseases, such as heart failure or emphysema, yet the artificial intelligence system is a technology that has a deep and continuous learning, requiring only a large database to "learn", cross information and draw conclusions.
"There is only a certain amount of information humans can see when looking at scans but research suggests there is more we can see using computers", said the lead author Dr. Luke Oakden-Rayner.
Artificial Intelligence Beating the Human
We enter into a new reality taking into account the processing power of computers. This processing power and artificial intelligence, instead of focusing on disease and diagnosis, can predict medical outcomes in a way that doctors are not trained to do so, because systems will fetch information from a gigantic database, and cross data from samples, being able to detect patterns so subtle that they become immensely relevant and determinants.
"Our program allows us to look at medical outcomes rather than diagnoses, which is able to tell us how patients are going to do in the future instead of how they are doing right now", said Dr. Oakden-Rayner.
The software may also incorporate relevant medical applications. Current methods of examining an individual organ can take time, so this is where AI can help determine quickly the health of an organ system, and help doctors create detailed treatment plans.
"Using deep learning we are able to understand and analyze organs in a way doctors can’t do at the moment", said Dr. Oakden-Rayner.
