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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Dual PET imaging in Case Two illustrates a patient with discordant disease. FDG PET (b & d) shows FDG uptake in tail of pancreas primary lesion (yellow arrow), as well as multiple hepatic metastases (yellow boxes), with enlarged liver span. DOTATATE PET on left (a) shows several hepatic metastases that do not demonstrate DOTATATE uptake above background of liver parenchyma. The liver lesions in (c) demonstrate moderate FDG uptake in liver lesions, with no corresponding DOTATATE avidity (white box) or central photopenia (white arrow). This discordance in dual PET imaging corresponds to a NETPET score of 5. This suggests de-differentiated disease and a less favorable prognosis. The patient was not suitable for Lutate treatment and received chemotherapy.
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Example of prostate zonal segmentation by the AI software in a patient. Yellow: transition zone; green: peripheral zone; red, anterior fibromuscular stroma; blue, central zone.
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