{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T17:21:44Z","timestamp":1790702504644,"version":"4.1.0"},"reference-count":21,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T00:00:00Z","timestamp":1737504000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP22K20843"],"award-info":[{"award-number":["JP22K20843"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016342","name":"Ministry of Health Mexico","doi-asserted-by":"publisher","award":["23FC1010"],"award-info":[{"award-number":["23FC1010"]}],"id":[{"id":"10.13039\/100016342","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016342","name":"Ministry of Health Mexico","doi-asserted-by":"publisher","award":["23FC1008"],"award-info":[{"award-number":["23FC1008"]}],"id":[{"id":"10.13039\/100016342","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disorders"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Pose estimation algorithms applied to two\u2010dimensional videos evaluate gait disturbances; however, a few studies have used this method to evaluate ataxic gait.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The aim was to assess whether a pose estimation algorithm can predict the severity of cerebellar ataxia by applying it to gait videos.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We video\u2010recorded 66 patients with degenerative cerebellar diseases performing the timed up\u2010and\u2010go test. Key points from the gait videos extracted by a pose estimation algorithm were input into a deep learning model to predict the Scale for the Assessment and Rating of Ataxia (SARA) score. We also evaluated video segments that the model focused on to predict ataxia severity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The model achieved a root\u2010mean\u2010square error of 2.30 and a coefficient of determination of 0.79 in predicting the SARA score. It primarily focused on standing, turning, and body sway to assess severity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study demonstrated that the model may capture gait characteristics from key\u2010point data and has the potential to predict SARA scores. \u00a9 2025 International Parkinson and Movement Disorder Society.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mds.30113","type":"journal-article","created":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T07:59:30Z","timestamp":1737532770000},"page":"752-758","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Gait Video\u2013Based Prediction of Severity of Cerebellar Ataxia Using Deep Neural Networks"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2988-2532","authenticated-orcid":false,"given":"Katsuki","family":"Eguchi","sequence":"first","affiliation":[{"name":"Department of Neurology, Faculty of Medicine and Graduate School of Medicine Hokkaido University  Sapporo Japan"},{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6643-8740","authenticated-orcid":false,"given":"Hiroaki","family":"Yaguchi","sequence":"additional","affiliation":[{"name":"Department of Neurology, Faculty of Medicine and Graduate School of Medicine Hokkaido University  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hisashi","family":"Uwatoko","sequence":"additional","affiliation":[{"name":"Department of Neurology, Faculty of Medicine and Graduate School of Medicine Hokkaido University  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuki","family":"Iida","sequence":"additional","affiliation":[{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinsuke","family":"Hamada","sequence":"additional","affiliation":[{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanae","family":"Honma","sequence":"additional","affiliation":[{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asako","family":"Takei","sequence":"additional","affiliation":[{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fumio","family":"Moriwaka","sequence":"additional","affiliation":[{"name":"Department of Neurology Hokuyukai Neurological Hospital  Sapporo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ichiro","family":"Yabe","sequence":"additional","affiliation":[{"name":"Department of Neurology, Faculty of Medicine and Graduate School of Medicine Hokkaido University  Sapporo 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