What's more staggering is that trials put the accuracy of the AI's predictions as high as 95%.
It works by chewing up data about patients, like their age, ethnicity and gender.
This information is then joined up with hospital information, like prior diagnoses, current vital signs, and any lab results.
And what makes the system particularly accurate is that it's fed data typically out of reach for machines, like doctors notes buried away on charts or in PDFs.rtificial intelligence systems become smarter over time through a process known as machine learning.
The AI was developed by a team of researchers from Stanford, the University of Chicago, and UC San Francisco.
Google then took the AI system and "taught" it using de-identified data of 216,221 adults from two US medical centres.
This meant the AI had more than 46billion data points to hoover up.
Over time, the AI was able to associate certain words with an outcome (i.e. life, or death), and understand how likely (or unlikely) someone was to die.
But Google's system can chew up anything and make predictions based on it, due to its powerful machine learning capabilities.
Excitingly, Google's AI doesn't just predict whether you'll live or die.
It can also guess at the length of a patient's stay in hospital, and their chances of being readmitted.