{"id":"W4214934990","doi":"10.1101/2022.03.02.22271269","title":"Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Centre Hospitalier Universitaire Vaudois; Centre d'Imagerie BioMédicale; National Institute of Mental Health; Université de Lausanne; Université de Genève; Hôpitaux Universitaires de Genève; École Polytechnique Fédérale de Lausanne; Sanofi; European Commission; Multiple Sclerosis Society; Universitätsspital Basel; National Multiple Sclerosis Society","keywords":"Generalizability theory; Multiple sclerosis; Lesion; Medicine; Nuclear medicine; Artificial intelligence; Computer science; Pathology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Deep learning framework for detecting MS cortical lesions; a clinical imaging method, and the reliability language is domain measurement, not the reproducibility literature."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The work develops a deep-learning tool for detecting multiple-sclerosis lesions."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Deep-learning tool for detecting MS cortical lesions is clinical imaging methods development, not study of research methods."}}}