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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AI
Most patients want to know if AI being used for imaging reports
Most patients want disclosure about whether AI is being used for their imaging reports.
An example of machine learning–based multiorgan body composition assessment (TotalSegmentator V2.0.4, 1.5-mm high-resolution model) in a 63-year-old man with obstructive coronary artery disease and a skeletal muscle attenuation below the median. (A) Transverse, (B) coronal, and (C) sagittal CT images and curved planar reformations of the (D) left, (E) circumflex, and (F) right coronary arteries.
CT
Low muscle density on coronary CT linked to heart risk
AI adoption is growing across UK imaging and cancer services, but workforce shortages persist-
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More work than relief: AI in the wrong seat, RCR census finds
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An example of machine learning–based multiorgan body composition assessment (TotalSegmentator V2.0.4, 1.5-mm high-resolution model) in a 63-year-old man with obstructive coronary artery disease and a skeletal muscle attenuation below the median. (A) Transverse, (B) coronal, and (C) sagittal CT images and curved planar reformations of the (D) left, (E) circumflex, and (F) right coronary arteries.
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