Journal article
Artificial intelligence extension of the OSCAR-IB criteria.
Axel Petzold, Philipp Albrecht, Laura Balcer, Erik Bekkers, Alexander U Brandt, Peter A Calabresi, Orla Galvin Deborah, Jennifer S Graves, Ari Green, Pearse A Keane, Jenny A Nij Bijvank, Josemir W Sander, Friedemann Paul, Shiv Saidha, Pablo Villoslada, Siegfried K Wagner, E Ann Yeh, undefined IMSVISUAL, ERN-EYE Consortium
Annals of Clinical and Translational Neurology | Published : 2021
DOI: 10.1002/acn3.51320
Abstract
Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human-led validated consensus quality control criteria (OSCAR-IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed..
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