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Artificial Intelligence in Imaging 2018

Artificial Intelligence in Imaging 2018
Early Adopters Speak Out

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The HIT industry is abuzz with talk about artificial intelligence (AI), a broad term used to describe the use of algorithms and software to approximate human cognition in the analysis of complex data. Of all the healthcare areas with potential AI applications, imaging has received the greatest attention. Vendors and providers in this space are looking forward to using AI to improve diagnosis processes, develop treatment protocols, and personalize patient care, among other use cases. In this report, 81 healthcare organizations (primarily large IDNS) help separate hype from reality by sharing details regarding their early imaging AI deployments and plans and by identifying which vendors they see as early leaders.

Key Findings

  1. State of the Market
  2. Which Vendors Are on Providers' Radars?
  3. IBM Watson's Efforts Drive Mindshare; Delivery Concerns Temper Provider Expectations
  4. Philips and Zebra Medical Vision Gain Visibility through Strong Road Maps and Partnerships
  5. Provider Perspective on Early Imaging AI Leaders
  6. Will the Most-Mentioned Imaging Vendors Deliver? A Historical Look at Vendor Performance
  7. What Should Providers Look for in a Vendor to Be Successful
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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2020 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.