Artificial intelligence in 2019: Where are we now

Mar 21st, 2019
London, --
GB
https://www.mybir.org.uk/CPBase__event_detail?id=a170O00000D5tbGQAR&site=a0N2000000COvFsEAL
An update on artificial intelligence (AI) in the field of radiology. Providing specific insights into the current and future applications of AI including deep learning in radiology, machine learning, and computer-aided diagnosis with appropriate clinical applications.
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Sequences included in the study MRI protocol: (a) coronal TIRM (turbo inversion recovery magnitude) sequence, (b) coronal T1-weighted sequence, (c) axial FLAIR (fluid-attenuated inversion recovery) sequence (head only), (d) axial T2-weighted fast spin-echo sequence (HASTE), (e) axial diffusion-weighted imaging (b-value 900), (f) an axial ADC map, (g) axial T1-Dixon water-only images before contrast agent, and (h) after administration of contrast agent.
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Sequences included in the study MRI protocol: (a) coronal TIRM (turbo inversion recovery magnitude) sequence, (b) coronal T1-weighted sequence, (c) axial FLAIR (fluid-attenuated inversion recovery) sequence (head only), (d) axial T2-weighted fast spin-echo sequence (HASTE), (e) axial diffusion-weighted imaging (b-value 900), (f) an axial ADC map, (g) axial T1-Dixon water-only images before contrast agent, and (h) after administration of contrast agent.
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Prof. Evis Sala.
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