{"title":"Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.","authors":"Ayesha Afridi, Sumaiyah Obaid, Neha Raheel, Farooq Azam Rathore","doi":"10.47391/JPMA.25-16","DOIUrl":null,"url":null,"abstract":"<p><p>Rehabilitation following a stroke faces challenges in offering customized treatment and attaining the best possible outcomes. The utilization of artificial intelligence (AI) presents transformative solutions that have the potential to revolutionize existing practices. This minireview discusses the use of AI in rehabilitation after stroke, in form of customized intervention, task-specific training with robotics, real time monitoring by wearable devices and remote monitoring through tele rehabilitation. Despite the recent advances, issues such as algorithm bias, concerns about data security, and access disparities remain. Future directions include creating predictive analytics for tailored stroke therapies, incorporating virtual reality for increased participation, and assuring ethical and equitable distribution. Collaborative efforts are necessary to address these challenges and advance AI-driven stroke therapy. This review highlights the potential of AI to revolutionize stroke rehabilitation outcomes through interdisciplinary collaboration and ethical implementation.</p>","PeriodicalId":54369,"journal":{"name":"Journal of the Pakistan Medical Association","volume":"75 2","pages":"445-447"},"PeriodicalIF":0.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Pakistan Medical Association","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.47391/JPMA.25-16","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Rehabilitation following a stroke faces challenges in offering customized treatment and attaining the best possible outcomes. The utilization of artificial intelligence (AI) presents transformative solutions that have the potential to revolutionize existing practices. This minireview discusses the use of AI in rehabilitation after stroke, in form of customized intervention, task-specific training with robotics, real time monitoring by wearable devices and remote monitoring through tele rehabilitation. Despite the recent advances, issues such as algorithm bias, concerns about data security, and access disparities remain. Future directions include creating predictive analytics for tailored stroke therapies, incorporating virtual reality for increased participation, and assuring ethical and equitable distribution. Collaborative efforts are necessary to address these challenges and advance AI-driven stroke therapy. This review highlights the potential of AI to revolutionize stroke rehabilitation outcomes through interdisciplinary collaboration and ethical implementation.
期刊介绍:
Primarily being a medical journal, JPMA publishes scholarly research focusing on the various fields in the areas of health and medical education. It publishes original research describing recent advances in health particularly clinical studies, clinical trials, assessments of pathogens of diagnostic importance, medical genetics and epidemiological studies. Review articles highlighting importance of various issues in the domain of public health, drug research and medical education are also accepted. As a leading journal of South Asia, JPMA remains cognizant of the recent advances in the rapidly growing fields of biomedical sciences, it invites and encourages scholars to write short reviews and invited editorials on the emerging issues. We particularly aim to promote health standards of developing countries by encouraging manuscript submissions on issues affecting the public health and health delivery services.