Artificial intelligence (AI) applications in radiology have been and are being developed by the established imaging companies and a host of new companies. Many of the recent FDA cleared applications have focused on the radiologist, aiding image analysis or improving workflow.
A common complaint is the difficulty in getting traction for Enterprise Imaging (EI) Systems in health care systems, especially in IT departments.
Out of the dozens of AI companies in radiology, eight have apps cleared to market by the FDA (as of March 18, 2018). Almost all of these with FDA clearance have successfully applied via the FDA 510(k) premarket notification process by identifying a similar device already cleared to market by the FDA, the “predicate device”.
Artificial Intelligence (AI) continued to be a hot topic at the Radiological Society of North America 2017 annual meeting. It was reported that RSNA 2017 had four times the number of AI sessions as there were at RSNA 2016. Two sessions that I attended were standing room only with attendees turned away prior to the start of the papers.
Aging baby boomers, new clinical therapies, and evolving regulations are increasing the work load of interventional cardiologists. Do these three factors represent a Perfect Storm for cardiology?
Artificial intelligence (AI) applications in radiology have been and are being developed by the established imaging companies and a host of new companies. Many of the recent FDA cleared applications have focused on the radiologist, aiding image analysis or improving workflow.
A common complaint is the difficulty in getting traction for Enterprise Imaging (EI) Systems in health care systems, especially in IT departments.
Out of the dozens of AI companies in radiology, eight have apps cleared to market by the FDA (as of March 18, 2018). Almost all of these with FDA clearance have successfully applied via the FDA 510(k) premarket notification process by identifying a similar device already cleared to market by the FDA, the “predicate device”.
Artificial Intelligence (AI) continued to be a hot topic at the Radiological Society of North America 2017 annual meeting. It was reported that RSNA 2017 had four times the number of AI sessions as there were at RSNA 2016. Two sessions that I attended were standing room only with attendees turned away prior to the start of the papers.
Aging baby boomers, new clinical therapies, and evolving regulations are increasing the work load of interventional cardiologists. Do these three factors represent a Perfect Storm for cardiology?
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