Showing posts with label Google AI. Show all posts
Showing posts with label Google AI. Show all posts

Google can predict when you’ll DIE with 95% accuracy using AI



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.

Google AI can predict heart disease risk from eye images



Researchers at Google have developed a new artificial intelligence system that can accurately predict the risk of heart diseases by scanning images of people's retina.

The discovery may point to more ways to diagnose health issues from retinal images, researchers said.

"Using deep learning algorithms trained on data from 284,335 patients, we were able to predict cardiovascular risk factors from retinal images with surprisingly high accuracy for patients from two independent datasets of 12,026 and 999 patients," Lily Peng from the Google Brain Team wrote in a blog post.


The algorithm could distinguish the retinal images of a smoker from that of a non-smoker 71 per cent of the time.