Articles by:
Jeroen van Duffelen

The puzzling case of autonomous AI in medical imaging

“Welcome to the era of autonomous AI in medical imaging,” read an announcement from an ... Continue reading...

From AI model to software medical device: Why the algorithm is only a fraction of the work

A good rule of thumb we can confirm from our own experience developing AI medical ... Continue reading...

Quality assurance in lung cancer screening programmes

There is a bigger health crisis at the end of covid-19: the cancer backlog. In ... Continue reading...

In a race between AI algorithms, the best software will win

The inspiration for this article came from a tweet by Dr Amine Korchi, neuroradiologist and ... Continue reading...

Making a case for buying medical imaging AI: How to define the return on investment 

There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...

The (not-so-distant) future of AI in healthcare

There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...

Where does medical imaging AI have the most impact today?

There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...

The five-step guide to AI adoption in clinical practice

The adoption of medical imaging AI is about getting your hospital or screening programme ready ... Continue reading...

Aidence is now DeepHealth. Learn more about our AI-powered health informatics portfolio on deephealth.com

X

Book a demo

    * Required fields.
    For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.
    This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.