Artificial Intelligence

Tech giants are seemingly launching an AI platform every other day, but does the UK health system have the capabilities necessary to help these advancements live up to the hype, with a large chunk of its organisations still running on paper or using fax machines and pagers? A recent HIMSS UK Executive Leadership Summit (ELS) saw patients, entrepreneurs, clinicians, researchers and scientists discuss during a panel debate whether the NHS is ready for an AI-enabled future.

The House of Lords Select Committee on Artificial Intelligence urges the NHS to digitise its 'current practices and records' by 2022 and sets out a series of recommendations to support sensible adoption of new technologies.

Symantec's technology can give hospitals advanced automated detection of targeted attacks while Fortinet's new product helps bridge the gap between network operations and security operations centers.

From community hospitals to major federal government agencies, this month has already seen a number of notable happenings in the electronic health record space.

Here’s a look at how to prepare today for the onslaught of technological advancements that are rapidly changing digital imaging.

Once organizations put the right technologies, teams and process analysis pieces in place, AI and machine learning programs will be poised to achieve the kinds of success expected of such hyped technology.

Enterprise imaging is a fundamental component of a modern health system and we look at how smart systems are getting ready for the future.

John Giannandrea to take charge of AI development at Apple.

AI technology is already in use in certain aspects of healthcare, such as diagnostic imaging, but it’s being underutilized in several others.

The platform will help 3M aggregate and maintain huge volumes of data in the cloud, and allow it to deploy artificial intelligence and machine learning at scale for its healthcare customers.