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AI for medical imaging represents a new and rapidly growing market in the US. Despite some concerns regarding the ethics and safety of using AI, the ability of these algorithms to help facilities better analyze data in order to provide value-based care, effective PHM, and individualized treatment will drive strong interest in and adoption of these products, particularly as they continue to improve going forward.
This Medtech 360 Report provides comprehensive data and analysis on the current state of the market for AI in medical imaging in the US across a 10-year period.
Several AI algorithms are being developed to analyze medical imaging data.
What is the nature of the AI algorithms being developed and what are their capabilities?
Which algorithms are currently more prevalent and what types of algorithms are anticipated to enter the market in the future?
There are several companies that are entering the market and looking to gain an edge over other players.
What companies currently compete in the market for AI in medical imaging?
What types of companies are present or entering the market?
What partnerships and sales distribution arrangements are happening in the market?
There are many regulatory and ethical challenges associated with the use of AI in medical imaging.
What has the ACR done thus far to help AI developing companies, health care facilities, and patients navigate this new technology and future challenges from it?
How is the FDA responding to the growing industry demand to have a more timely and efficient regulatory process for new AI solutions?
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Christian Gualtieri is an analyst within the Hardware Medtech Insights team at Decision Resources Group, focusing on diagnostic imaging capital equipment and healthcare IT markets. Christian holds Bachelor's and Master's degrees in Biochemistry from McGill University.