Over the past 6 months, we have been working on a new section of the website centred around artificial intelligence in radiology. In the spirit of Radiopaedia, we wanted to create a free resource that was both reliable and accessible to the non-computer science crowd. Although it may seem that artificial intelligence has emerged abruptly in our profession, it is necessary to remember that these concepts are actually at work behind the scenes in many technologies already utilised by radiologists (e.g. voice recognition and other natural language processing applications), and as our professions evolve and improve, so will we. 

A sound understanding of the basic concepts of AI is a great tool to have in your arsenal. As this branch of medical science becomes more embedded in contemporary practice, this will be an essential asset. Radiopaedia will continue to evolve to include relevant content in this field to ensure its users are up to date, informed and most of all, able to access this information for free. 

Creating a new section of the website to accommodate the influx of curious readers was phase one of our project. We are also working on an up to date record of publicly available image datasets for researchers to peruse, with (at the time of writing this blog) over 100 links. 

We hope you enjoy this new section of the website. It has been a rewarding project, and I hope our users take as much away from it as I did creating it. 

You can find our new articles here, and our image databases here.

Project type: create a new section of the website

Outcome: 57 new artificial intelligence articles

Team: Andrew Murphy (lead), Candace MooreJames Condon

 

Andrew is a Radiopaedia senior editor and an Australian-trained radiographer based in Vancouver, Canada. He is currently leading the artificial intelligence sub-council of the Canadian Association of Medical Radiation Technologists Professional Practices Advisory Council.

 

 

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Publication date: 4th Oct 2019 00:21 UTC

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