Artificial Intelligence

The company also made DeepVariant, which can be used to improve the accuracy of genomic sequencing, available through Google Cloud.

Hospitals are proving the merits of machine learning and cognitive computing, but deep learning and data dependence are key.

With AI tech being so complex to implement, we've compiled some essential areas to focus on to prepare for this emerging technology.

But what are limits today will soon become opportunities, as health systems sit on mounds of data ripe for integration into AI.

This special project looks at the areas where AI, machine learning and cognitive computing are already driving major gains, highlighting case studies, thought leadership and best practices that can help healthcare move AI beyond science fiction for good.

A half-a-dozen new artificial intelligence-based imaging technologies made their debut at the Radiological Society of North America’s conference in Chicago.

Company says the average hospital generates 50 petabytes of data annually, yet less than 3 percent of that data is actionable, tagged or analyzed.

Nurses in a faraway control room monitor patients with AI tools and free on-premise clinicians to spend more time with patients.

Artificial intelligence (AI) is part of today’s zeitgeist: whether it be parallels with 'I, Robot' dystopias or predictions about its impact on society.

Hospitals should begin with appropriate infrastructure and that includes robust connectivity, storage and security. Here’s a look at how to get started.