Boon or bane? The inevitable rise of artificial intelligence in radiology has as many sceptics as it has supporters. Let’s take a look at what AI, Big Data and deep learning have to offer for radiology.
Enjoy browsing!
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Article • Healthcare artificial intelligenceAI – Radiology’s next frontierArtificial intelligence (AI) technology and its role and future impact on the radiology profession was the dominant theme at RSNA 2017, whether in scientific presentations or in the technical exhibitions. Keith J Dreyer DO PhD addressed this subject ... |
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Article • Compelling cohortsPopulation imaging: Big Data will boost disease predictionPopulation imaging is key to determining disease prediction and risk prevention, and Big Data will be key to extracting information and drawing analysis from imaging results, experts highlighted during the annual meeting of the European Society of ... |
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Sponsored • InnovationA unique imaging platform for dynamic X-ray applicationsOver the last 60 years, medicine has made major advances in diagnosis, treatment and surgery. Radiography and Fluoroscopy imaging are essential to medical science. As a result, Original Equipment Manufacturers (OEM’s) need to deliver ever more ... |
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Article • The InnerEye ProjectAI drives analysis of medical imagesSome time in the distant future artificial intelligence (AI) systems may displace radiologists and many other medical specialists. However, in a far more realistic future AI tools will assist radiologists by performing very complex functions with ... |
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Article • New therapies, new questionsTo understand an image is to understand the treatmentConventional chemotherapy in oncology is increasingly yielding to new procedures such as targeted therapy and immunotherapy. This results in changes for radiologists because new procedures require familiarisation with certain imaging to ensure that ... |
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Article • Smarter predictionsArtificial Intelligence helping to detect breast cancerScientists are using Artificial Intelligence (AI) to support more effective breast cancer detection. The researchers at Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts ... |
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Sponsored • A discipline transformingAdding value with AI in medical imagingIn the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. This will by no means replace radiologists, but rather help to meet the rising demand for imaging examinations, prevent diagnostic errors, ... |
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