In a few years, radiology might look completely different: AI assistance in diagnosis and therapy, big data-based population imaging and personalized medicine are about to radically change the field – read on to see where the road might lead.
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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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Article • AI in radiologyAugmented intelligence rather than artificialArtificial intelligence (AI) will increase efficiency and improve quality as well as clinical outcomes – and thus strengthen rather than weaken the role of radiologists, said Dr Joon Beom Seo at ECR 2018. A spectre is haunting radiologists – the ... |
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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 • 'Is it safe?'Effective communication on radiation risksCommunicating radiation risks is not only a legal requirement, it is also a moral obligation, asserts Dr Shane J Foley, radiographer and assistant professor at the UCD School of Medicine in Dublin, Ireland. Passing on radiation information has its ... |
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News • Artificial intelligenceAI predicts Alzheimer’s years before diagnosisUsing artificial intelligence, metabolic brain changes can be identified earlier leading to timely diagnosis and intervention of Alzheimer’s disease. |
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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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