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 How to get AI into your radiology practice, 8 practical tips February 20, 2020 by Almar van Loon Open a medical journal, a news website or a radiology blog, surely artificial intelligence (AI) will be mentioned. AI is making waves in medical ... Read Post
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 ... Read Post
How to build your own healthcare 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 ... Read Post
A 101 guide to the FDA regulatory process for AI healthcare software November 20, 2019 by Floor van Leeuwen During 2019 many AI healthcare companies announced FDA clearance for their medical device often considering AI radiology software. What does it ... Read Post
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. ... Read Post
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 ... Read Post
5 options for integrating image-based AI into your radiology workflow August 16, 2019 by Coert Metz One of the main challenges the industry of radiology currently faces, is the implementation of artificial intelligence. Every day, researchers ... Read Post
Quantifying hippocampal volume: manually or AI powered? July 25, 2019 by Fabian Bartel Patients with neurodegenerative disease, such as Alzheimer’s disease, epilepsy or schizophrenia, are prone to showing increased rates of hippocampal ... Read Post
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 ... Read Post
How does deep learning work in radiology? May 29, 2019 by Valerio Fortunati Deep dive into how deep learning works Lately many exciting results with deep learning in radiology have been reported. This is not that much of a ... Read Post
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