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Introduction by Erik Ranschaert

The key best practices in setting up an AI strategy.

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MIN READING TIME

Where do you start if you’re interested in utilising AI as part of your radiology department, and across your wider medical premises? In a recent blog I elaborated on the need to plan and determine your goals for using AI. And now that we’re over the initial hype of artificial intelligence, it’s time to evaluate AI applications in clinical practice.Implementation of AI isn’t widespread – not yet at least – mainly due to a lack of awareness among radiologists, fear over automation making certain roles obsolete, concerns over difficulty integrating with existing workflows, a lack of available funding, insufficient support from IT departments, privacy security concerns and much more. But here’s the good news: there are some key best practices you can follow to keep your AI roadmap moving in the right direction and help clear the fog of worry that’s clouded AI for so long. Consider this your ultimate checklist for AI in healthcare.

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Be in the (k)now

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MIN READING TIME

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Ebook for radiologists

Facilitating the imaging AI paradigm shift at a global scale requires the best people and technology stack.

How to get started with AI in healthcare?

Frédéric Lambrechts

How to get started with AI in healthcare?