I was born in the 1980’s and my belief is that I will live to be 120 years old, so anybody planning to attend my burial ceremony will have to be around come 2105 – end of my prophecy in that. Regarding the exact date, I can’t tell, but you know what, artificial intelligence promises it would.
What’s the real story? According to AI researchers, machine intelligence has proved capable of foretelling when exactly a patient is going to die.
Okay, there is no denying that doctors have, and continue to issue such like predictions (which usually go deep to explain why the patient has a limited time alive). For example, based on the stage of let’s say cancer or HIV and AIDs the victim is in, physicians can say he or she is left with (X) weeks/years to kiss the world goodbye (off cause with due respect to life in general).
But How Correct Does this Turn?
While the doctor’s prediction is not something to ignore, in often cases, the time bracket given turns out inaccurate. And that again often comes with unwanted consequences. Either the victim becomes uncertain of what to do with their life or they become ignorant, stressed and hopeless, that they lead a useless life.
What’s the point here, as in, while there is a great need to tell the victim how long they should expect to live, there is also that necessity to be accurate with the dates or month. So as not to subject the concerned into planning for a death that “may” not happen as foretold, the benefits of that will be; it will allow the person to explore other methods of treatment – something like maybe using unapproved procedures i.e. killing the cancer using robotics agents.
AI’s New Role is Predicting the Day of Death
So far, everybody agrees that death is inevitable and that’s why it’s a serious topic to humanity. Taking the subject with the same weight, scientists at the School of Medicine Stanford University have developed and announced a new AI-powered software that foretells when patients could die, with an astonishingly high level of accuracy.
The researchers went through thousands of patient records, analyzed, and extracted data to create an algorithm that would predict when exactly a victim is likely to succumb to death. At current, the model is set within a time bracket of three and twelve months, purposely to narrow playtime as much as possible.
Is the whole concept logically explainable? Definitely yes, ideally, all it takes is simply using archived patient records, to set up and train machine learning, then testing it against the dates given by the doctors as well as the exact date of the victim’s departure.
Reliability and Accuracy of the Model
As reported by Lloyd Minor, dean of students at SU’s School of Medicine, in their published work appearing on The Wall Street Journal, the system scored an average of 9 out of 10 at all times, in revealing when the victim would breathe his or her last.
“The system is not perfect yet, but it’s still a new invention –destined to improve with time,” said Minor. However, the dean was quick to address that the AI will not replace physicians, but will be a tool in the hands of doctors.
Just to point out, medical care continues even after it’s been established that the patient will not survive, and as such, this system will help physicians to create better end-of-life medical care for the victims.
Will This Discourage Care?
According to Minor and his team, their argument is that this information will not limit care, “On the least it will empower decision making on all parties, like having to spend more time with those they love, encouraging those they are to soon leave behind and so on. The concerned will also know that they need to live in a certain way to avoid fatigue, discomfort or severe pain.
On the other hand, while it may sound unacceptable to society’s belief, the information can also be used to evade financial stress. As in, besides not seeking farther treatment the patient can as well travel, earlier to where they wish to be rested after departure. That’s not all, there is also that concept of writing your will and clearly explaining who takes what after you are no more.
In summary, the whole concept revolves around creating the best environment to help the patient live happier, more satisfied and with much confidence, in their last days on earth. Which in a way, is a great solution availed by artificial intelligence, and fulfills the tech’s mission (of solving society’s problems).