Ross Upton, PhD

Artificial Intelligence
Can AI give radiology the urgent jump-start it needs?
In the past, healthcare has adopted new technology at a similar pace to a supertanker. Now that the healthcare supertanker has been driven into the eye of the COVID-19 storm, there's a strong need to embrace artificial intelligence (AI) and new ways of working, writes Ross Upton, PhD.
August 5, 2020
2017 05 09 11 15 29 355 Cyber Informatics 400
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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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