AI is accelerating, but is healthcare prepared for it?
<p>There remains a lot of hype about artificial intelligence in healthcare – the potential is very much there, but the reality is the industry is a while away from AI algorithms transforming everyday care. One reason for this is that most hospitals are still on a journey of updating their tools and processes for the digital age. Pagers and fax machines remain a common fixture in even the most digitally mature healthcare organizations.</p>
<p>But that's all changing, and it's happening faster than you can say "Hey, Siri."</p>
<p>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.</p>
This is a big step forward, Google officials said, because the tech is not imitating an existing diagnostic but rather using machine learning to uncover a new way to predict health problems.
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.
The COPD Foundation, Geisinger, GSK and Jvion join force avoid hospitalizations and prevent inpatient readmissions for patients with these chronic conditions.
In some cases, more data is needed to draw conclusions, and in others, the tech just isn’t there yet, John Quackenbush, a computational biologist at Harvard's Dana Farber Cancer Institute, says.