Artificial Intelligence (AI) is rapidly gaining momentum within Canadian healthcare, specifically in the field of medical imaging. Although in the research phase, AI in radiology is of growing interest to the medical community and to patients across the country.
A recent poll conducted by Nanos revealed that an overwhelming 83% of Canadians would support research in the use of AI in radiology in Canada. Working in collaboration with a panel of experts, the Canadian Association of Radiologists (CAR) is taking a leadership position in AI and has written a White Paper, which describes ways in which this technology may be used to improve the delivery of patient care and overall population health...more.
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.
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.
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
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