Are you a researcher, computer scientist, coder or developer working to introduce cutting-edge AI tools into clinical practice?
We need your help. Radiologists cannot keep with the rapid pace of AI product development. The only way to understand the true impact of these technologies on patient care is to get them in the hands of clinicians who will use them. To make that happen, clinicians need a way to sift through and evaluate AI tools. Adoption and implementation will be streamlined by collecting information about AI tools for radiology in one place.
To that end, the Canadian Association of Radiologists has developed a survey to collect information about AI tools developed by medical imaging companies for use in radiology. We want to build an inventory that can help radiologists make informed decisions about AI tools, and that can serve as a public directory and product catalogue for radiologists looking to adopt AI technology into their practices.
Thank you for contributing to a strengthened ecosystem for AI in radiology! You can view the full inventory at car-ai.ca.
Want to contribute to this project? Questions or concerns? Contact
What do you mean by AI?
Great question. We are specifically referring to machine learning algorithms that were trained on radiology-related data sets and have been (or will be) validated. Use cases for these algorithms may include triage, CAD, radiomics, workflow / quality improvement, grading, NLP and more as outlined in our White Paper.
What products are we seeking to include?
A lot of products used in healthcare may employ forms of machine learning. We are specifically seeking to summarize products with the following criteria:
1. Must minimally present a machine learning algorithm trained on patient data to accomplish a radiology task
2. Offer a service specifically designed for research, development, deployment or validation of an algorithm described in criteria 1
Please ensure your submission addresses one of these two points.
What are we doing with your company data?
This survey and the data collected through it are part of a project undertaken by the CAR, led by the AI Tech and Apps Working Group. Data collected in this survey will be used to prepare a narrative review of existing AI software and platforms in Radiology currently available in North America. We will also make data available and searchable on the CAR website in advance of RSNA 2019. We will seek permission for any other use.
Will you modify my data before posting publicly?
No. But we reserve the right not to post marketing material whose claims are not justified in the submission.
What if information on our product or regulatory status changes?
For now, email us to update your posting: firstname.lastname@example.org
About the CAR’s Tech and Apps Working Group
The Canadian Association of Radiologists (CAR) Artificial Intelligence (AI) Working Group has created a Tech and Apps Working Group to examine the role of AI applications in clinical practice. The aims of this working group are to inform radiologists, Department Chairs, IT administrators, and decision makers on existing and emerging AI products; provide examples of use case scenarios; provide recommendations for implementation, security, and procurement; facilitate integration into the clinical or research workflow in radiology departments.