AI & Data Analytics

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.

The physician and data scientist gave 7 important points that healthcare should keep in mind when implementing AI projects.

Technology allows people to screen for hereditary cancers. But what happens afterward?

The 4th edition of the annual competition keeps the focus on healthcare, calling on contestants to employ AI for cellular research.

The creator of a digital genetics database says it’s all about harmonization.

What healthcare must learn from a new analysis that doubles as a warning.

Experts and insiders sound off on the projects, people, and patterns poised to pop off in 2018.

Our editorial advisory board describes the hurdles and chances to overcome them.

Fear not the rise of the algorithms, Sawad Thotathil of Persistent Systems writes.

While positive behavioral change from wearable usage hasn’t been conclusively demonstrated, the value of the data they produce is indisputable.

The pairing comes on the heels of a $30 million fundraising round for the population health analytics firm.

How he hopes to further the growing telehealth company.

“I think our conference is unique in that we’re focused on more practical applications of artificial intelligence and machine learning."