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Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene - Nature Machine Intelligence
Abstract Rare eye diseases such as inherited retinal diseases (IRDs) are challenging to diagnose genetically. IRDs are typically monogenic disorders and represent a leading cause of blindness in children and working-age adults worldwide. A growing number are now being targeted in clinical trials, with approved treatments increasingly available. However, access requires a genetic diagnosis to be established sufficiently early.
Deep-learning automated quantification of longitudinal OCT scans demonstrates reduced RPE loss rate, preservation of intact macular area and predictive value of isolated photoreceptor degeneration in geographic atrophy patients receiving C3 inhibition tr…
http://orcid.org/0000-0003-2852-6912Dun Jack Fu1, Sophie Glinton1, http://orcid.org/0000-0001-5903-2996Veronika Lipkova1, Livia Faes1, Bart Liefers1,2, Gongyu Zhang1, Nikolas Pontikos1, Alex McKeown3, Lukas Scheibler3, http://orcid.org/0000-0001-8682-4067Praveen J Patel1, Pearse A Keane1, Konstantinos Balaskas1,4 1NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL, Institute of Ophthalmology, London, UK 2Department of Ophthalmology, Erasmus University Medical...
Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study
Research in context Evidence before this study We searched PubMed, MEDLINE, Scopus, Web of Science, Embase, and arXiv for studies from database inception up to Nov 21, 2022, using the keywords “retinopathy of prematurity”, “plus disease”, “fundus photographs”, “machine learning”, “artificial intelligence (AI)”, and “deep learning”. Only study reports written in English were included into the search and reviewed. Abstracts in English from reports written in other languages were also reviewed.
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