AI & Data Analytics

Data analytics in healthcare requires a significant investment, and the right decision can make or break your bottom line.

Why the technology is empowering researchers to analyze once-impenetrable data sets.

It’s no secret that big data can combat the problem. Here’s an inside look at what experts are actually doing.

In the healthcare and health tech industries, companies are constantly jockeying to add the sharpest talent.

Today's decision does more than just allow Viz.AI Contact to be marketed: It sets a standard for future software of its kind.

"I think we are much closer to real, practical medical applications of the technology."

Kaiser Permanente researchers analyzed data from more than 4 million people for the population health study.

The woman who oversaw MD Anderson's controversial IBM Watson collaboration may know a thing or two about AI and expectations.

Blockchain is set to redefine how healthcare is contracted, managed, and paid for. Although the technology is in its early stages, here is where we are and what is ahead.

How Medial EarlySign’s machine learning model combed EHRs to identify patients at risk of kidney damage.

Why the “breakthrough device” could be a boon for healthcare organizations and patients alike.

We’re co-hosting a webinar featuring attorney and blockchain expert Steven W. Teppler. Here’s how you can register—and why you should.

How the results affect critical decisions about reproductive health and hereditary cancer risk.

The Ivy’s bioethics center will collaborate with colleagues at University of Copenhagen to develop frameworks around “black box” medicine.

Some of healthcare technology’s brightest minds will converge at the HealthXL Global Gathering in Pittsburgh, Pennsylvania.

Before machine learning can try to replace radiologists, it has a lot to learn from them...like how to read their notes

And contrary to popular perception, the likelihood that a drug gets approved is actually on the rise.

The technology’s promise extends to telehealth, interoperability, cybersecurity, and more.

They are building a research registry of data from 30,000 patients. The goal: help scientists advance sleep medicine.

Why an algorithm might restore confidence and control to patients.

Big data fueled the real-time sepsis forecasting algorithm.

The tech can help identify Mabry syndrome. So what’s next?

"You need a mandate from the institutional leadership down that we’re going to makes this data accessible and usable to make progress."

John Mattison, MD, likes science fiction. Today, he warned of the scenarios that could emerge from unchecked AI.

A former IBM health researcher discussed why basing technologies like Watson on trials and guidelines would not work.