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 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
Deep dive: how does deep learning work in the context of radiology? 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 ... Read Post
An Imaging Genetics example: connecting MRI brain images to genetic profiles at voxel level May 03, 2019 by Ory Six Over the past few years imaging genetics is a hot topic in brain research. Extracting large amounts of quantified information from medical images is ... Read Post
AI-based medical software: how will the FDA deal with it? April 09, 2019 by Arnault Massink Last week the FDA announced that they will be investigating a new review framework for artificial intelligence (AI) based medical devices.1 Over the ... Read Post
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