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Research by Professor Jeremy Fairbank and colleagues, and published in the European Spine Journal, has found automation can improve how we diagnose back problems.

A novel feature of the model is to identify ‘Evidence Hotspots’ that are the array of elements that most contribute to the degradation scores. © Jeremy Fairbanks

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Full paper

Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.

Eur Spine J. 2017 Feb 6

 

Funder

The European Union Health Project on Genes and Disc Degeneration
Project: 'Genodisc' - FP7 Health2007A Grant Agreement No. 201626

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