Month: October 2022

Limited Medical Imaging Data Access Stalling AI

  AI technologies for medical imaging have grown extensively in recent years and have grown extensively in recent years, mainly driven by advances in GPUs and machine learning [1]. With regard to the field of medical imaging, the main objective of a radiologist is to identify patterns, as well as correlations between the presence of these …

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Innovation in Medical Imaging Never Stops

In the public’s imagination, most medical innovation happens by accident [1]. We imagine the discovery of penicillin by studying moldy petri dishes, accidently infaring a spouse’s hand with X-Rays (link to earlier post on the discovery of radiology) or discoveries in cardiac surgery. However, innovation is the practical implementation of a set of ideas which …

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The importance of Solving Data Bias

Artificial intelligence (AI), defined by the engineering of computerized systems able to perform tasks that normally require human intelligence, has substantial potential in the medical imaging field. Machine learning and deep learning algorithms have been developed to improve workflows in radiology or to assist the radiologist by automating tasks such as lesion detection or medical …

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