Sometimes patients are given a terminal diagnosis in which doctors will then have to try and assess how much time that person has left to live. However sometimes these predictions aren’t always accurate, and patients can either end up dying earlier than expected or defying all expectations and living long and happy lives.
Basically, this goes to say that sometimes predicting when someone might die isn’t always accurate, but researchers at Stanford seem to have managed to develop an AI system that can accurately predict it. Note that this is used for end-of-life care, as opposed to predicting when a healthy person might die.
The research paper titled Improving Palliative Care with Deep Learning is available online for those who are curious and want to peruse it. The researchers write, “Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to over-estimate prognoses, which in combination with treatment inertia results in a mismatch between patients wishes and actual care at the end of life.”
It was created and trained using over two million patient records, thus allowing it to spot patterns that a doctor might otherwise overlook. That being said, the system isn’t 100% accurate yet but so far the researchers have developed a model which is 90% accurate, which is actually rather amazing.