AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial
BackgroundCognitive impairment is a common consequence of stroke, requiring effective rehabilitation strategies. Telerehabilitation has emerged as a promising alternative to in-person cognitive therapy, yet existing systems often lack mechanisms for real-time personalization and engagement monitorin...
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1636017/full |
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| author | Suebeen Kim Si-Woon Park Si-Woon Park Taeksoo Jeong Min-Soo Kang Doo Young Kim Doo Young Kim |
| author_facet | Suebeen Kim Si-Woon Park Si-Woon Park Taeksoo Jeong Min-Soo Kang Doo Young Kim Doo Young Kim |
| author_sort | Suebeen Kim |
| collection | DOAJ |
| description | BackgroundCognitive impairment is a common consequence of stroke, requiring effective rehabilitation strategies. Telerehabilitation has emerged as a promising alternative to in-person cognitive therapy, yet existing systems often lack mechanisms for real-time personalization and engagement monitoring. This study aimed to evaluate the clinical effectiveness of a self-guided AI-driven cognitive telerehabilitation compared to a therapist-supervised rehabilitation in subacute stroke patients.MethodsIn this multicenter, parallel-group, randomized controlled non-inferiority trial, 63 participants with cognitive impairment within 6 months of stroke onset were randomized 1:1 to either a self-guided AI-driven telerehabilitation group or a therapist-supervised rehabilitation group. Both groups completed 24 sessions within 6 weeks using the same mobile platform. The primary outcomes were cognitive function measures, including the Korean Mini-Mental State Examination-2 (K-MMSE2), Trail Making Tests (A and B), and Digit Span Tests (forward and backward), with non-inferiority formally tested using the K-MMSE2. Secondary outcomes included functional independence, psychosocial measures and usability questionnaire.ResultsFifty-five participants completed the study. Both groups showed significant improvements across all primary cognitive measures, with no statistically significant differences between groups. Non-inferiority analysis confirmed that the self-guided AI-driven telerehabilitation was not inferior to the therapist-supervised rehabilitation based on K-MMSE2 changes. Usability assessment among users of the cognitive rehabilitation system indicated high overall satisfaction with no serious adverse events reported.ConclusionThis study demonstrates that a self-guided AI-driven telerehabilitation can deliver cognitive improvements comparable to a therapist-supervised rehabilitation in subacute stroke patients.Clinical trial registrationhttps://cris.nih.go.kr/cris/index/index.do, KCT0008969. |
| format | Article |
| id | doaj-art-f0c03863f4d246ceb9c56fc9fbb9f951 |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-f0c03863f4d246ceb9c56fc9fbb9f9512025-08-20T04:01:00ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-08-011610.3389/fneur.2025.16360171636017AI-driven cognitive telerehabilitation for stroke: a randomized controlled trialSuebeen Kim0Si-Woon Park1Si-Woon Park2Taeksoo Jeong3Min-Soo Kang4Doo Young Kim5Doo Young Kim6College of Medicine, Catholic Kwandong University, Gangneung, Republic of KoreaCollege of Medicine, Catholic Kwandong University, Gangneung, Republic of KoreaDepartment of Rehabilitation Medicine, International St. Mary’s Hospital, Incheon, Republic of KoreaDepartment of Rehabilitation Medicine, International St. Mary’s Hospital, Incheon, Republic of KoreaDepartment of Physical and Rehabilitation Medicine, Seosong Hospital, Incheon, Republic of KoreaCollege of Medicine, Catholic Kwandong University, Gangneung, Republic of KoreaDepartment of Rehabilitation Medicine, International St. Mary’s Hospital, Incheon, Republic of KoreaBackgroundCognitive impairment is a common consequence of stroke, requiring effective rehabilitation strategies. Telerehabilitation has emerged as a promising alternative to in-person cognitive therapy, yet existing systems often lack mechanisms for real-time personalization and engagement monitoring. This study aimed to evaluate the clinical effectiveness of a self-guided AI-driven cognitive telerehabilitation compared to a therapist-supervised rehabilitation in subacute stroke patients.MethodsIn this multicenter, parallel-group, randomized controlled non-inferiority trial, 63 participants with cognitive impairment within 6 months of stroke onset were randomized 1:1 to either a self-guided AI-driven telerehabilitation group or a therapist-supervised rehabilitation group. Both groups completed 24 sessions within 6 weeks using the same mobile platform. The primary outcomes were cognitive function measures, including the Korean Mini-Mental State Examination-2 (K-MMSE2), Trail Making Tests (A and B), and Digit Span Tests (forward and backward), with non-inferiority formally tested using the K-MMSE2. Secondary outcomes included functional independence, psychosocial measures and usability questionnaire.ResultsFifty-five participants completed the study. Both groups showed significant improvements across all primary cognitive measures, with no statistically significant differences between groups. Non-inferiority analysis confirmed that the self-guided AI-driven telerehabilitation was not inferior to the therapist-supervised rehabilitation based on K-MMSE2 changes. Usability assessment among users of the cognitive rehabilitation system indicated high overall satisfaction with no serious adverse events reported.ConclusionThis study demonstrates that a self-guided AI-driven telerehabilitation can deliver cognitive improvements comparable to a therapist-supervised rehabilitation in subacute stroke patients.Clinical trial registrationhttps://cris.nih.go.kr/cris/index/index.do, KCT0008969.https://www.frontiersin.org/articles/10.3389/fneur.2025.1636017/fullartificial intelligencecognitive dysfunctionmobile applicationsstroketelerehabilitation |
| spellingShingle | Suebeen Kim Si-Woon Park Si-Woon Park Taeksoo Jeong Min-Soo Kang Doo Young Kim Doo Young Kim AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial Frontiers in Neurology artificial intelligence cognitive dysfunction mobile applications stroke telerehabilitation |
| title | AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial |
| title_full | AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial |
| title_fullStr | AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial |
| title_full_unstemmed | AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial |
| title_short | AI-driven cognitive telerehabilitation for stroke: a randomized controlled trial |
| title_sort | ai driven cognitive telerehabilitation for stroke a randomized controlled trial |
| topic | artificial intelligence cognitive dysfunction mobile applications stroke telerehabilitation |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1636017/full |
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