{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T12:40:32Z","timestamp":1792327232793,"version":"4.4.0"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:00:00Z","timestamp":1792022400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100020950","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["NSTC 113-2622-E-038-004"],"award-info":[{"award-number":["NSTC 113-2622-E-038-004"]}],"id":[{"id":"10.13039\/501100020950","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003625","name":"Ministry of Health and Welfare","doi-asserted-by":"publisher","award":["Healthy Taiwan Sprout Project (Grant No. HTS-114-1"],"award-info":[{"award-number":["Healthy Taiwan Sprout Project (Grant No. HTS-114-1"]}],"id":[{"id":"10.13039\/501100003625","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technology and Health Care"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Gait impairment in dementia and Parkinson's disease (PD) contributes to falls, reduced mobility, and loss of independence. Sensor-integrated, AI-assisted gait training systems may provide standardized rehabilitation with real-time feedback and quantitative gait assessment.\n                      \n                    <\/jats:p>\n                    <jats:p>\n                      \n                      <jats:bold>Objective:<\/jats:bold>\n                      To investigate whether a single session of AI-assisted gait training improves spatiotemporal gait parameters in individuals with dementia and PD.\n                      \n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This single-session pre\u2013post study enrolled ambulatory adults aged 60\u201385 years with dementia or PD. Participants completed one gait-training session using the Best Shape Gait (BSG) platform, with a planned duration of 15\u201330 min and the actual duration adjusted according to individual physical tolerance. Primary outcome was gait-speed change. Secondary outcomes included step length, step count, and gait variability. Paired t tests were performed within four predefined subgroups: Dementia\u2013Support (n\u2009=\u200967), Dementia\u2013Escort (n\u2009=\u200943), PD\u2013Support (n\u2009=\u200964), and PD\u2013Escort (n\u2009=\u200943).\n                      \n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Gait speed significantly increased after training across all predefined subgroups. In Support-mode walking, both dementia and PD cohorts demonstrated reduced step count and increased step length, suggesting improved locomotor efficiency. In Escort-mode walking, gait speed increased and step count decreased significantly in both cohorts, whereas changes in step length and gait variability were not significant. Gait variability did not significantly change in either cohort. Gait-speed improvement was consistent across dementia subtypes, modified Hoehn and Yahr stages, age groups, and fall-history categories. Baseline MMSE score and levodopa equivalent daily dose were not significantly associated with gait-speed improvement.\n                      \n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A single session of sensor-integrated, AI-assisted gait training was associated with immediate within-session improvements in gait speed in individuals with dementia and PD. These findings support the feasibility of standardized, minimally supervised gait training in geriatric neurorehabilitation settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/09287329261498488","type":"journal-article","created":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T13:15:12Z","timestamp":1792070112000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Sensor-integrated AI-assisted gait training in dementia and Parkinson's disease: A single-session pre\u2013post study"],"prefix":"10.1177","author":[{"given":"Chien-Tai","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan"},{"name":"Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Kai","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan"},{"name":"Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng-Hsing","family":"Liu","sequence":"additional","affiliation":[{"name":"Advanced Technology Lab, Wistron, New Taipei City, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia-Hung","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan"},{"name":"Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lung","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan"},{"name":"Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,15]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-804766-8.00022-4"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2017.0643"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/gls191"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(19)30044-4"},{"key":"e_1_3_2_6_2","article-title":"A review of artificial intelligence-based gait evaluation and rehabilitation in Parkinson\u2019s disease","volume":"15","author":"Jadhwani PL","year":"2023","unstructured":"Jadhwani PL, Harjpal P. 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