How AI Is Reshaping Healthcare Data

From using synthetic data to train AI, to protecting patient privacy, to new data streams from wearables, we examine how AI is changing how healthcare data is collected and used.

In the hype and dystopian pop culture narrative surrounding AI, the most important step goes unnoticed: the data janitor work.

Here we dig into some of the trends that are reshaping healthcare data — from using synthetic data to train AI, to protecting patient privacy, to new data streams from wearables — with some lessons from Apple, Google, and fake puppies.

We will discuss AI and medical big data at our Future of Health conference on October 2-3, 2019 in NYC.

 
The trouble with data

Most AI algorithms today are trained with input-output pairs: “Here are 10,000 MRI scans, and this is what a tumor looks like.”

Your algorithm can then do only one thing: identify tumors in scans. But it can do that one thing really well, at scale, and with a high degree of accuracy.

Περισσότερα εδώ: How AI Is Reshaping Healthcare Data

Πηγή: cbinsights.com