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  5. > Vital Signs - HIMSS 2016 - The Internet of Medical Imaging Things and Deep Learning in Medical Imaging

HIMSS 2016 Trending Themes Explore New Opportunities in Medical Imaging

Significant strides made in deep learning in medical imaging and the Internet of medical imaging things As every year, Frost & Sullivan attended the annual HIMSS meeting. The two themes pertaining to medical imaging that we explored at the 2016 edition are:

I. The Internet of Medical Imaging Things: Assessing the Strategy of the Big Three
II. II. Deep Learning in Medical Imaging: What is the Time to Market by Use Case? This content was also published in the form of article contributions to www.diagnosticimaging.com, our press partner for HIMSS 2016.

HIMSS 2016 Unveils Major Facelift for Imaging IoT

When GE Healthcare takes a year or two to react to visionary innovation by Siemens Healthcare, this usually means the company is up to something “big.” Now, barely four months after launching the GE Health Cloud at the RSNA 2015, “big” is already an understatement to qualify this game-changing initiative by GE. Taking the time at HIMSS 2016 to understand the IoT strategy of the Big Three in medical imaging was a captivating exercise; not just because all three vendors are moving full steam ahead with their IoT strategy in healthcare, but because each vendor seems to be approaching medical imaging “things” in its own way.

The Medical Imaging IoT 1.0 Can be Traced Back Two Decades Ago

The concept of connecting and monitoring medical imaging equipment via remote servers over the Internet is not new. In fact, it has been the cornerstone of the remote servicing capabilities that medical imaging vendors started to offer many years ago. This can be dubbed the 1.0 version of IoT in medical imaging.

This remote connectivity has allowed vendors to gain tremendous efficiencies in their maintenance and support functions by moving from an after-the-fact, break-and-fix service model to a proactive, preventative service model. Other than in the military healthcare facilities, where IT security is extremely stringent, the majority of medical imaging customers have signed up for remote services by vendors.

Imaging providers have recognized this as an efficient way of spotting early symptoms of a breakdown, and therefore minimize downtime.

Table Of Contents

Vital Signs - HIMSS 2016 - The Internet of Medical Imaging Things and Deep Learning in Medical Imaging
Table Of Contents
1VITAL SIGNS - HIMSS 2016 - THE INTERNET OF MEDICAL IMAGING THINGS AND DEEP LEARNING IN MEDICAL IMAGING

Vital Signs - March 2016 Issue
1 Exploring Two Potentially Disruptive Developments in Medical Imaging Informatics

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