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 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
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
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 neurodegeneration. ... Read Post
Radiology residents have strong confidence in the future of diagnostic radiology February 13, 2019 by Ory Six What is the future of diagnostic radiology? Will AI keep medical students away from the field? Will they prefer a different specialty because they ... Read Post
RSNA Machine Learning Showcase 2019 [Top 5 Questions to Ask RSNA Exhibitors] November 06, 2018 by Ory Six The 2019 RSNA Machine Learning showcase promises to be even busier than last year. The amount of RSNA exhibitors has grown to over 70 and the ... Read Post
Why to adopt AI in radiology today? September 06, 2018 by Ory Six Artificial intelligence is increasingly becoming a part of our lives. Whether it is by helping us automatically tag all cat pictures on our phone, ... Read Post
Early Signs of Brain Ischemia on CT and MR; Can AI Lend a Helping Hand? 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 ... Read Post
Deep Learning and Challenges in Medical Image Processing June 26, 2018 by Jorrit Glastra Up to a few years ago conventional image analysis was based on the careful handcrafting of features by humans that captured the relevant aspects of ... Read Post
3 Reasons why radiomics can revolutionize brain tumor diagnosis and prognosis June 04, 2018 by Ory Six The field of radiomics covers a range of methods aimed at the extraction of quantitative features from medical images, and linking these features to ... Read Post
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