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 Advancing Alzheimer MRIs using AI-based quantitative imaging February 25, 2021 by Jordy Oudhuizen A wide range of tests can play a role during the diagnostic process of patients with neurodegenerative symptoms. The pathway usually starts with ... Read Post
6 use cases for CT body composition with AI January 28, 2021 by Pim Moeskops PhD, Wouter Veldhuis MD PhD and Prof. Tim Leiner MD The physical state of a patient is relevant to many different areas of healthcare. A fast, commonly used metric for this is the body mass index (BMI, ... Read Post
A trick to get the best performance from an AI radiology algorithm: stratification December 17, 2020 by Jim Tol When talking about getting AI into clinical practice faster, one of the most important factors is algorithm performance. The AI software should be ... Read Post
Quantitative Radiology is Finally Coming November 26, 2020 by Tim Leiner Radiology is a great profession. The ability to answer clinical questions with great certainty using imaging is a highly fulfilling opportunity to ... Read Post
How to build your own algorithm: cleaning the AI radiology data October 29, 2020 by Arna van Engelen The currency of the 21st century may be data instead of dollars, euros or Yens. With AI being on the rise and with all the opportunities this offers ... Read Post
How can AI support radiologists even before they sit down to read a prostate MRI study? September 30, 2020 by Arthur Post Uiterweer Last year, RSNA included over 130 AI companies showcasing their radiology software, and this was only the tip of the iceberg as many companies are ... Read Post
Deep learning radiology: the secret of convolutional neural networks August 20, 2020 by Valerio Fortunati The application of deep learning in radiology is on the rise. Especially over the past 5 years, applying deep learning to medical imaging problems ... Read Post
6 ways AI can support prostate MRI reporting July 30, 2020 by Ory Six Many radiology departments experience an increase in the number of prostate MRIs. Both the EAU (European Association of Urology) and ACR (American ... Read Post
Deep learning for radiology volume measurements: an introduction to medical image segmentation June 22, 2020 by Pim Moeskops Organ volumes, tumor dimensions, size of lymph nodes - these are some examples of measures that provide valuable information for radiologists to use ... Read Post
Artificial intelligence in neurology: promising research and proven applications May 11, 2020 by Ory Six Artificial intelligence (AI) is redrawing the healthcare landscape and neurology is no exception to this growing trend. Not without reason, because ... Read Post
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