AI & Data Analytics

A genetic variant might be associated with opioid addiction. But it can’t yet predict outcomes for individual patients.

Spending on healthcare data and analytics is rising significantly, according to a recent survey. What factors are pushing the trend?

From tech and psychedelics to virtual reality and hacks against the opioid crisis, the subjects of these sessions have drawn the interest of South by Southwest organizers.

Economic development officials believe that if Cleveland can grow its health technology sector, it will also get the opportunity to combat health disparities.

EHR adoption has come a long way, but how can healthcare leverage the resultant trove of data?

The leading artificial intelligence firm will have more room to work with.

The NIH thinks this machine learning tool could cut the costs of caring for chronic wounds.

Highmark Inc. wants to leverage claims data to identify and intervene with patients at risk of opioid dependence.

The cash injection is the largest investment round to date for rising oncology analytics firm.

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