Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Saturday, June 21, 2025

AI and stroke rehabilitation: the past, present and future

 AI is almost completely worthless until the underlying research for 100% recovery is there!  You're putting the cart before the horse!

AI and stroke rehabilitation: the past, present and future

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https://doi.org/10.1016/j.rerere.2025.05.002
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Open access

Abstract

This article offers a comprehensive review of research progress in the field of artificial intelligence and stroke rehabilitation. It begins by exploring its historical development, which has progressed through the stages of germination, technological integration, and initial application, marked by ongoing innovation. The article then delves into the current research landscape, addressing core technological support, the expansion of application scenarios, and the verification of clinical effects that showcase the pivotal role of artificial intelligence in enhancing the efficiency and effectiveness of rehabilitation. Subsequently, future development trends are analyzed, including the move toward personalization and precision, the widespread adoption of remote and home-based rehabilitation, and the integration of multi-technology approaches alongside cross-disciplinary innovation. Concurrently, challenges facing the field—such as technological bottlenecks, the absence of ethical guidelines, and difficulties in adapting healthcare systems—are examined, with corresponding strategies and recommendations proposed. Lastly, the article highlights the reshaping of the stroke rehabilitation paradigm through artificial intelligence, discussing future research directions, social impacts, and visionary goals. It underscores the global importance of artificial intelligence in advancing stroke rehabilitation and fostering its development worldwide.

Keyword

Artificial Intelligence
Stroke
Rehabilitation
Personalized Therapy
Tele-rehabilitation

1. Introduction

Stroke, recognized as one of the leading causes of disability worldwide, can lead to severe sequelae, including motor dysfunction and cognitive impairment, which profoundly impact patients' quality of life and social functioning. Although traditional rehabilitation methods provide some symptom improvement, they are often limited by low efficiency and insufficient personalization, underscoring the urgent need for innovative rehabilitation technologies.1
In recent years, the rapid advancement of artificial intelligence (AI) has led to transformative breakthroughs in stroke rehabilitation. By integrating AI with cutting-edge technologies such as virtual reality (VR), rehabilitation robotics, and brain-computer interfaces (BCI), more precise and efficient rehabilitation strategies are being developed to serve patients. However, despite these promising innovations, challenges persist in areas such as data standardization, technological integration, and ethical considerations, which must be addressed to facilitate broader clinical implementation.2

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