{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:35:19Z","timestamp":1792787719901,"version":"4.5.0"},"reference-count":30,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:00:00Z","timestamp":1791590400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Internal support from Duquesne University and Signapore Management University","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}],"id":[{"id":"https:\/\/ror.org\/02336z538","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The integration of artificial intelligence (AI) and machine learning (ML) within the clinical work of rehabilitation therapists in post stroke rehabilitation has the potential to transform their work performance, habits, and routines. The impact could potentially enhance integration of assessment\/data analysis, personalizing therapies, documentation, and promoting home program adherence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study assesses occupational and physical therapists\u2019 current perspectives on AI\/ML in post-stroke clinical rehabilitation and examines perceived barriers to potential application of AI\/ML in their clinical work.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This mixed methods study includes quantitative survey data collected pre\/post an AI\/ML educational webinar, as well as qualitative focus group analysis that includes therapist attitudes and experiences with AI\/ML, practical applications to using AI\/ML, as well as the difficulties associated. The recruited therapists include occupational and physical therapy practitioners from the United States and Asia. Individuals included in the study had to have a caseload of 30% persons with stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Four key themes emerged from qualitative analysis: 1) current clinical work practice and identified gaps, 2) current therapists\u2019 perceptions of AI\/ML, 3) perceived future of AI\/ML in clinical work practices and 4) steps needed for implementation. Survey data reporting frequencies of technology use and AI\/ML perceptions are integrated into qualitative findings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Therapists can articulate potential future uses for AI\/ML technology in post-stroke rehabilitation, however, remain uncertain about when, how, and at what cost utilization will be supported in clinical work environments. Therapists desire education and support to utilize the evolving technologies in practice.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261492235","type":"journal-article","created":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T12:08:38Z","timestamp":1791634118000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring rehabilitation therapists\u2019 knowledge and perspectives on the use of artificial intelligence and machine learning for persons post-stroke"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0166-8198","authenticated-orcid":false,"given":"Elena V","family":"Donoso Brown","sequence":"first","affiliation":[{"name":"Duquesne University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min Hun","family":"Lee","sequence":"additional","affiliation":[{"name":"Singapore Management University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kasey","family":"Stepansky","sequence":"additional","affiliation":[{"name":"Duquesne University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah","family":"Fairchild","sequence":"additional","affiliation":[{"name":"Duquesne University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaia","family":"Mikula","sequence":"additional","affiliation":[{"name":"Duquesne University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mia","family":"Del Vecchio","sequence":"additional","affiliation":[{"name":"Notre Dame University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Halyama","sequence":"additional","affiliation":[{"name":"Duquesne University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,10]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2025.03.017"},{"key":"e_1_3_3_3_2","first-page":"4812","article-title":"Artificial intelligence machine learning and conventional physical therapy for upper limb outcome in patients with stroke: a systematic review and meta-analysis","volume":"27","author":"Mahmoud H","year":"2023","unstructured":"Mahmoud H, Aljaldi F, El-Fiky A, et al. Artificial intelligence machine learning and conventional physical therapy for upper limb outcome in patients with stroke: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci 2023; 27: 4812\u20134827.","journal-title":"Eur Rev Med Pharmacol Sci"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/s24206585"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1177\/17474930241308142"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.12786\/bn.2022.15.e5"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/rnj.218"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1080\/10749357.2021.1926149"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1097\/PHM.0b013e318214f5d8"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-021-00927-y"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/ptj\/pzab031"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.arrct.2025.100571"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3415227"},{"key":"e_1_3_3_14_2","first-page":"1","volume-title":"A human-AI collaborative approach for clinical decision making on rehabilitation assessmentProceedings of the 2021 CHI Conference on Human Factors in Computing Systems","author":"Lee MH","unstructured":"Lee MH, Siewiorek DP, Smailagic A, et al. A human-AI collaborative approach for clinical decision making on rehabilitation assessment. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama Japan, ACM, pp.1\u201314."},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/10749357.2017.1366013"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.3109\/0142159X.2014.889814"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2018.00149"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.2307\/249008"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1080\/17483107.2017.1362043"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.46.2.186.11926"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1177\/10519815241312447"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msksp.2024.103152"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-020-00666-6"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1080\/13696998.2023.2226537"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1080\/11038128.2024.2421355"},{"key":"e_1_3_3_26_2","first-page":"22","article-title":"Nurses\u2019 perceptions of artificial intelligence (AI) integration into practice: an integrative review","volume":"37","author":"Lora L","year":"2024","unstructured":"Lora L, Fo P. Nurses\u2019 perceptions of artificial intelligence (AI) integration into practice: an integrative review. J Perioper Nurs 2024; 37: 22\u201327.","journal-title":"J Perioper Nurs"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2022.114782"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.3390\/s23020634"},{"key":"e_1_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101805"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2021.06.846"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1111\/1475-6773.12117"}],"container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10519815261492235","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/10519815261492235","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10519815261492235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T19:20:39Z","timestamp":1791832839000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10519815261492235"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,10]]},"references-count":30,"alternative-id":["10.1177\/10519815261492235"],"URL":"https:\/\/doi.org\/10.1177\/10519815261492235","relation":{},"ISSN":["1051-9815","1875-9270"],"issn-type":[{"value":"1051-9815","type":"print"},{"value":"1875-9270","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,10]]},"article-number":"10519815261492235"}}