The second part of the roadmap was published in the Journal of the American College of Radiology on May 28. While the initial report, published in Radiology in April, described essential research and innovations necessary for AI to revolutionize radiology, the new addition outlines translational research to accelerate the actual implementation of AI in clinical settings.
Key priorities detailed in the report include:
- Defining clinical challenges that could be solved by AI.
- Encouraging data sharing in training and testing new algorithms.
- Establishing validation and monitoring tools to facilitate regulatory approval of algorithms.
- Developing a universal set of standards and data elements to streamline AI integration in existing workflows.
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