The ultimate guide to AI in radiology
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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 ...
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. ...
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 ...
Deep learning: its potential and challenges in radiology AI
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 ...
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 ...
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