Artificial Intelligence

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.

The two companies will offer radiologists access to various tools – for risk stratification, improved report structure, faster turnaround times – to help clinicans make better decisions about the next steps in the care process.

Provider organizations must figure out ways to sift through mountains of data to let AI tools have at it. And AI experts have plenty of suggestions.