The ultimate guide to AI in prostate radiology
The ultimate guide to AI in radiology
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8 practical tips to get radiology AI into clinical practice
February 20, 2020 by Almar van Loon
Open a medical journal, a news website, or a radiology blog, and surely artificial intelligence (AI) will be mentioned. AI is making waves in medical ...
How healthcare AI can improve patient centeredness
January 24, 2020 by Ory Six
Patient centered care sounds like an obvious thing to aim for in healthcare, always, everywhere. However, its implementation is not always a ...
How to build a radiology AI algorithm: collecting the right data
December 24, 2019 by Arna van Engelen
As a radiologist, you might come across tasks that you would not mind handing over to artificial intelligence (AI), either because they are of a ...
A 101 guide to the FDA regulatory process for AI radiology software
November 20, 2019 by Floor van Leeuwen
During 2019, many AI healthcare companies announced FDA clearance for their medical device - this often considers AI radiology software. What does it ...
4 benefits of an optimized radiology report
October 15, 2019 by María García Sanz
The healthcare system is evolving and personalized healthcare is becoming increasingly important. From this perspective, each patient is unique. ...
Understanding the role of AI bias in healthcare
September 17, 2019 by Renske de Boer
It is important to understand the role of AI bias in healthcare. As artificial intelligence (AI) applications gain traction in medicine, healthcare ...
5 options for AI integration into your radiology workflow
August 16, 2019 by Coert Metz
One of the main challenges the industry of radiology currently faces is AI integration. Every day, researchers publish new state-of-the-art ...
Quantifying hippocampal volume: manually or AI powered?
July 25, 2019 by Fabian Bartel
Patients with a neurodegenerative disease, such as Alzheimer’s disease, epilepsy, or schizophrenia, are prone to showing increased rates of ...
Image augmentation: how to overcome small radiology datasets
June 28, 2019 by Jim Tol
The training of neural networks typically requires large amounts of data. The more examples your network sees during training, the better it can ...
How does deep learning in radiology work ?
May 29, 2019 by Valerio Fortunati
Lately many exciting results with deep learning in radiology have been reported. This is not that much of a surprise, as deep learning is eminently ...
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