Coming soon to the CARJ
The CAR’s Artificial Intelligence Working Group, chaired by Dr. An Tang (Université de Montréal) is pleased to announce the publication of its White Paper on Artificial Intelligence in Radiology in the Canadian Association of Radiologists Journal.
In the last five years Artificial Intelligence (AI) techniques, known as deep learning, have delivered rapidly improving performance in image recognition, caption generation, and speech recognition. Radiology is a prime candidate among medical specialties for the early adoption of these techniques. As such, the introduction of AI into radiology workflows has the capacity to enhance the quality, value and depth of radiology’s contribution to patient care and population health.
The white paper is an expert review of the state of the art of AI in Canada and is of interest to radiologists and readers who are interested in learning more about how the rapid evolution of AI applications in all fields will shape clinical practice and radiology research. The CAR is taking a leading role in shaping the implementation of AI tools for radiology. Informing and educating our members about the field as it evolves at lightning speed is an essential part of that mandate. The white paper was written collaboratively by working group members from across Canada, who brought together their respective areas of expertise and sub-specialty to help inform CAR members at this crucial stage in the development of AI applications for radiology.
Since its establishment in 2017, the CAR’s AI Working Group has discussed and deliberated on practice, policy, and patient care issues related to the introduction and implementation of AI in imaging. This white paper is the culmination of those early discussions and provides recommendations for the CAR derived from deliberations between the working group members. The paper covers topics related to:
- Essential AI terminology
- Key issues and best practices pertaining to educational needs of CAR members
- Importance of critical assessment of AI literature in compliance with principles of evidence-based medicine
- Research and development
- Clinical applications and implementation
- Structure and governance
- Role of radiologists and potential impact of AI in the context of radiology in Canada
The paper is being published under an open access agreement, and we anticipate that it will be widely read and cited. You can access it at http://carjonline.com