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tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Image from Fangyi Liu, MD, of the Chinese PLA General Hospital, et al.
Crossroads Amid these debates, we as radiologists stand at a crossroads: is the human element in imaginginterpretation dispensable or indispensable? The Future of Radiology: Artificial Intelligence and Advanced Technologies. RadioGraphics. Society of InterventionalRadiology. Harvey HB, et al.
Geoffrey Hinton, a key pioneer in deep learning, famously remarked in 2016 that we should stop training radiologists because machine learning might soon outperform them at imageinterpretation, with a time frame of five to 10 years. The Future of Radiology: Artificial Intelligence and Advanced Technologies. RadioGraphics.
after seeing the image. (2) Photoprint from radiograph by W.K. Within weeks of his announcement hospitals world-wide had taken the initiative to open up X-ray rooms, which gave rise to the first radiology departments. (3) 22) Images as well as their reports are now accessed within seconds throughout all hospital departments.
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