Incorporating Artificial Intelligence (AI) into the field of radiology is a significant priority for the Canadian Association of Radiologists (CAR), and one distinctive CAR member has plans to move the matter forward internationally. Dr. Bo Gong, CAR AI Standing Committee member and Editor-in-Training at the CAR Journal (CARJ), has been appointed to the Radiological Society of North America’s (RSNA) AI Trainee Editorial Board for a two-year term that begins in January 2023. Read More

In February 2021, we launched the CAR’s national curriculum, “Artificial Intelligence in Radiology: Foundations to Current Applications,” consisting of five courses and multiple modules to be rolled out over time. Grounded in the latest science and developed by experts in the field, the modules offer a wealth of knowledge that is tailored for radiologists. So, where are we now?

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Splitting his time between clinical practice and research, Dr. An Tang has made an impressive mark in the field of radiology. His proudest research endeavour is his contribution to the development of the Liver Imaging Reporting and Data System (LI-RADS), a system for standardization of acquisition, interpretation, and reporting of liver cancer imaging. LI-RADS has been adopted by the American Association for Study of Liver Disease and is used daily in radiology departments around the world. Dr. Tang served as the inaugural chair of the CAR Artificial Intelligence (AI) Standing Committee from 2017-21. Read More

The CAR is thrilled to announce the appointment of Dr. Jaron Chong (Western University) as the new Chair of the CAR’s Artificial Intelligence (AI) Standing Committee. After four years of devoted service and dedication to the Committee, Dr. An Tang (Université de Montréal) will be stepping down from his position as Chair. The CAR is incredibly grateful for Dr. Tang’s visionary and thoughtful leadership, which enabled the CAR to successfully support and lead Canadian radiology forward as AI has come to occupy a more prominent place in medical imaging departments and workflows. Read More

February 15 marked the launch of the CAR’s national curriculum, “Artificial Intelligence in Radiology: Foundations to Current Applications.” This initiative, championed by the CAR Artificial Intelligence (AI) Standing Committee, is the first and only curriculum of its kind to encompass the practical, technical, and ethical issues of AI integration into radiology from a Canadian perspective. Completing courses from this accredited curriculum will count toward your Royal College MOC requirements. Read More

Sponsored Content The healthcare industry recognizes that a main challenge in realizing a “deep learning” and a “data driven” health-care system is the integration and execution of multiple algorithms and applications seamlessly into clinical workflows where care-teams, diagnostic physicians and health researchers do their work. A healthcare-dedicated AI ecosystem should be designed to address the four major forces affecting healthcare today: cost, quality, access, and patient & provider experience. There are solutions out there now that allow clinicians to address those forces by embedding AI into devices and applications to improve consistency, support more accurate measurements and make healthcare more precise. Read More

In response to an open call for applications in Fall 2020, the Canadian Radiological Foundation (CRF) and the Canadian Heads of Academic Radiology (CHAR) are pleased to award funding to two research projects related to COVID-19:

1. Using AI to Determine Prevalence of Pre- or Asymptomatic COVID-19 in Patients Undergoing Chest CT for a Non-COVID Indication within Eastern Ontario – A Collaborative Multicenter Observational Study
2. Using Virtual Reality as a Remote Educational Tool During the COVID-19 Pandemic

The hope is that this directed funding will help our community, and most importantly our patients, during these challenging times. Thank you to Bayer for partially supporting these awards. Read More

The CAR is pleased to announce the recent publication of the White Paper on De-Identification of Medical Imaging in the CARJ. Published in two parts – General Principles and Practical Considerations, the paper provides recommendations for CAR members and the Canadian radiology community to safely and efficiently maintain data privacy in the era of artificial intelligence (AI). Read More

I am confident with the direction that the CAR is heading and the progress that our association is making. Canadians have become more aware of the value of radiology and the role that radiologists play in the healthcare team. Read More

The recent White Paper titled Ethical and Legal Issues Related to Artificial Intelligence¹, championed by members of the CAR AI Working Group, has received attention from not only the radiology community but also key decision-makers. Read More

On Thursday, May 23, 2019, in Montreal, Quebec, the Honourable Navdeep Bains, Minister of Innovation Science and Economic Development announced that the government will invest up to $49 million in the Digital Health and Discovery Platform (DHDP). The DHDP is a network of partners, including the Canadian Association of Radiologists (CAR) that is led by the Terry Fox Research Institute (TFRI) and Imagia. Read More

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. Read More

Artificial Intelligence in Radiology-Present and Future is the theme for CAR 2018, or more formally known as the 2018 Annual Scientific Meeting of the Canadian Association of Radiologists (CAR). Over four days in Montreal, radiologists, residents and industry partners from across North America will share their work, network, and socialize against a backdrop of topics that demonstrate how imaging is harnessing the power of technologies such as deep learning and artificial intelligence. Read More

Author: Dr. Raym Geis, member of the CAR AI Working Group Artificial Intelligence (AI) and Machine Learning (ML) refer to computer algorithms that change their output based on exposure to more data input. These algorithms were initially described decades ago, but they became economically feasible to use only recently, because of more powerful computers combined with the availability of appropriate machine-consumable input data. Read More

Author: Dr. An Tang, Chair of the CAR AI Working Group The Artificial Intelligence Working Group was created by the Canadian Association of Radiologists (CAR) with the stated mission to «discuss and deliberate on practice, policy, and patient care issues related to the introduction and implementation of artificial intelligence (AI) mechanisms in imaging». Read More