Ross Upton, PhD

AI
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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Hospitals across Europe, here in Katowice, Poland, are deploying AI tools in clinical workflows, but the regulatory infrastructure to oversee them is still catching up.
AI
One tool, many rulebooks: How the world is and isn't regulating medical AI
AI is reshaping radiology faster than regulators can keep up. From Brussels to Dubai to Seoul, most are still writing their own rules.
PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).
Molecular Imaging
Early FAPI-PET scans match 60-minute scans for lung cancer staging
Think more deeply about the structural, procedural, or operational bottlenecks stacking on top of one another, Dr. Rizwan Malik told UKIO delegates.
AI
The great AI debate: Expensive failure or vital prerequisite?
C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
MRI
AI gives a boost to cardiac MRI risk prediction
AI for CT & PET/CT Imaging
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AI for CT & PET/CT Imaging
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Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).
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Am 2020 06 26 16 29 2945 Cancer Lung 400
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