The ultimate guide to AI in prostate radiology
The ultimate guide to AI in radiology
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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 ...
Linking MRI brain images to genetic profiles at voxel level: an imaging genetics example
May 03, 2019 by Ory Six
Over the past few years, imaging genetics has been a hot topic in brain research. Extracting large amounts of quantified information from medical ...
AI 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 ...
How to measure the changing shape of the aging brain?
March 14, 2019 by Ory Six
Both normal aging and neurodegenerative diseases, such as Alzheimer’s disease (AD), cause morphological changes of the brain due to ...
Radiology residents have strong confidence in the future of radiology
February 13, 2019 by Ory Six
What is the future of radiology? Will AI keep medical students away from the field? Would they prefer a different specialty because they expect AI ...
RSNA Machine Learning Showcase 2019 [Top 5 Questions to Ask RSNA Exhibitors]
November 06, 2018 by Ory Six
The 2019 RSNA artificial intelligence showcase promises to be even busier than last year. The amount of RSNA exhibitors has grown to over 70 and the ...
Why adopt AI radiology today?
September 06, 2018 by Ory Six
Artificial intelligence is increasingly becoming a part of our lives. This is by helping us automatically tag all cat pictures on our phone, analyze ...
Early brain ischemia signs on CT and MRI - can AI radiology help out?
July 26, 2018 by Ory Six
A poor functional outcome of stroke patients may be predicted by early signs on CT and MRI. Radiology exams carried out within 6 hours after stroke ...
Deep learning radiology and challenges in medical image processing
June 26, 2018 by Jorrit Glastra
Until a few years ago, conventional image analysis was based on the careful handcrafting of features by humans that captured the relevant aspects of ...
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