人工智能辅助脑卒中康复的功能和运动结果：随机对照试验的荟萃分析

Brain disorders (Amsterdam, Netherlands) Pub Date : 2025-04-21 DOI:10.1016/j.dscb.2025.100224

Tivano Antoni , Benedictus Benedictus , Stefanus Erdana Putra

{"title":"人工智能辅助脑卒中康复的功能和运动结果：随机对照试验的荟萃分析","authors":"Tivano Antoni , Benedictus Benedictus , Stefanus Erdana Putra","doi":"10.1016/j.dscb.2025.100224","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Stroke is the primary contributor to disability worldwide, causing a high economic burden due to its morbidity. Due to the application of artificial intelligence (AI), stroke rehabilitation has been revolutionized, resulting in significant improvement. Implementing AI also enables home-based care, thus helping stroke patients who generally have ambulatory difficulties.</div></div><div><h3>Methods</h3><div>This research was a systematic review from Pubmed, ScienceDirect, and ProQuest, including randomized controlled trials (RCT) published from 2009 to 2024. Meta-analysis included seven studies discussing the functional and motoric outcomes of AI-assisted stroke rehabilitation.</div></div><div><h3>Results</h3><div>Six studies included post-stroke patients within 3 to 6 months after the stroke occurred. AI models used were varied, ranging from end-effector or exoskeleton robots to a combination of both and virtual reality (VR). Overall, the included studies had a low risk of bias. Standard mean differences (SMDs) of the Barthel Index and Motricity Index were 0.16 and 0.60. No significant difference between AI-assisted stroke rehabilitation and conventional stroke rehabilitation for both outcomes. Non-inferiority trials showed that the AI-assisted method was not inferior to the conventional method of stroke rehabilitation.</div></div><div><h3>Discussion</h3><div>Considering its feasibility, personalization, and flexible rehabilitation program, AI-assisted was non-inferior to the conventional method. A comprehensive guideline is needed to facilitate its usage in clinical practice.</div></div><div><h3>Conclusion</h3><div>AI-assisted stroke rehabilitation was not inferior to conventional stroke rehabilitation.</div></div>","PeriodicalId":72447,"journal":{"name":"Brain disorders (Amsterdam, Netherlands)","volume":"18 ","pages":"Article 100224"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional and motoric outcome of AI-assisted stroke rehabilitation: A meta-analysis of randomized controlled trials\",\"authors\":\"Tivano Antoni , Benedictus Benedictus , Stefanus Erdana Putra\",\"doi\":\"10.1016/j.dscb.2025.100224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Stroke is the primary contributor to disability worldwide, causing a high economic burden due to its morbidity. Due to the application of artificial intelligence (AI), stroke rehabilitation has been revolutionized, resulting in significant improvement. Implementing AI also enables home-based care, thus helping stroke patients who generally have ambulatory difficulties.</div></div><div><h3>Methods</h3><div>This research was a systematic review from Pubmed, ScienceDirect, and ProQuest, including randomized controlled trials (RCT) published from 2009 to 2024. Meta-analysis included seven studies discussing the functional and motoric outcomes of AI-assisted stroke rehabilitation.</div></div><div><h3>Results</h3><div>Six studies included post-stroke patients within 3 to 6 months after the stroke occurred. AI models used were varied, ranging from end-effector or exoskeleton robots to a combination of both and virtual reality (VR). Overall, the included studies had a low risk of bias. Standard mean differences (SMDs) of the Barthel Index and Motricity Index were 0.16 and 0.60. No significant difference between AI-assisted stroke rehabilitation and conventional stroke rehabilitation for both outcomes. Non-inferiority trials showed that the AI-assisted method was not inferior to the conventional method of stroke rehabilitation.</div></div><div><h3>Discussion</h3><div>Considering its feasibility, personalization, and flexible rehabilitation program, AI-assisted was non-inferior to the conventional method. A comprehensive guideline is needed to facilitate its usage in clinical practice.</div></div><div><h3>Conclusion</h3><div>AI-assisted stroke rehabilitation was not inferior to conventional stroke rehabilitation.</div></div>\",\"PeriodicalId\":72447,\"journal\":{\"name\":\"Brain disorders (Amsterdam, Netherlands)\",\"volume\":\"18 \",\"pages\":\"Article 100224\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain disorders (Amsterdam, Netherlands)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666459325000447\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain disorders (Amsterdam, Netherlands)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666459325000447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

中风是世界范围内造成残疾的主要原因，由于其发病率造成了很高的经济负担。由于人工智能（AI）的应用，中风康复发生了革命性的变化，取得了显著的改善。实施人工智能还可以实现以家庭为基础的护理，从而帮助通常行动不便的中风患者。方法本研究采用Pubmed、ScienceDirect和ProQuest的系统综述，包括2009年至2024年发表的随机对照试验（RCT）。荟萃分析包括7项研究，讨论人工智能辅助中风康复的功能和运动结果。结果6项研究纳入脑卒中后3 ~ 6个月内的患者。使用的人工智能模型多种多样，从末端执行器或外骨骼机器人到两者和虚拟现实（VR）的结合。总体而言，纳入的研究偏倚风险较低。Barthel指数和moicity指数的标准差（SMDs）分别为0.16和0.60。人工智能辅助脑卒中康复与常规脑卒中康复在两项结果上均无显著差异。非劣效性试验表明，人工智能辅助方法并不亚于常规的脑卒中康复方法。考虑到人工智能辅助的可行性、个性化和灵活的康复方案，它不次于传统的方法。需要一个全面的指导方针，以促进其在临床实践中的使用。结论人工智能辅助脑卒中康复效果不逊于常规脑卒中康复。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Functional and motoric outcome of AI-assisted stroke rehabilitation: A meta-analysis of randomized controlled trials

查看原文本刊更多论文

Functional and motoric outcome of AI-assisted stroke rehabilitation: A meta-analysis of randomized controlled trials

Introduction

Stroke is the primary contributor to disability worldwide, causing a high economic burden due to its morbidity. Due to the application of artificial intelligence (AI), stroke rehabilitation has been revolutionized, resulting in significant improvement. Implementing AI also enables home-based care, thus helping stroke patients who generally have ambulatory difficulties.

Methods

This research was a systematic review from Pubmed, ScienceDirect, and ProQuest, including randomized controlled trials (RCT) published from 2009 to 2024. Meta-analysis included seven studies discussing the functional and motoric outcomes of AI-assisted stroke rehabilitation.

Results

Six studies included post-stroke patients within 3 to 6 months after the stroke occurred. AI models used were varied, ranging from end-effector or exoskeleton robots to a combination of both and virtual reality (VR). Overall, the included studies had a low risk of bias. Standard mean differences (SMDs) of the Barthel Index and Motricity Index were 0.16 and 0.60. No significant difference between AI-assisted stroke rehabilitation and conventional stroke rehabilitation for both outcomes. Non-inferiority trials showed that the AI-assisted method was not inferior to the conventional method of stroke rehabilitation.

Discussion

Considering its feasibility, personalization, and flexible rehabilitation program, AI-assisted was non-inferior to the conventional method. A comprehensive guideline is needed to facilitate its usage in clinical practice.