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.

Wednesday, March 12, 2025

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery

 Artificial intelligence does nothing if the underlying research for 100% recovery is not there! Artificial intelligence is NOT the answer to stroke recovery. 

You're putting the cart before the horse. ARE YOU THAT BLITHERINGLY STUPID?

Here is my attempt with ChatGPT, useless!

Here is my run through asking for 100% recovery from stroke:

ChatGPT on 100% recovery from stroke Nothing worthwhile!

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery

https://doi.org/10.1016/j.neuroscience.2025.03.017
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Highlights

  • AI-driven imaging techniques improve early diagnosis, ischemic penumbra identification, and personalized therapeutic interventions.
  • Robotics, AI-powered exoskeletons, and VR/AR technologies provide precise, adaptive, and immersive rehabilitation experiences.
  • Machine learning models predict recovery outcomes, while wearable devices enable continuous monitoring and home-based rehabilitation.

    Recovery prediction DOES NOTHING to get survivors recovered!

  • Ethical considerations, data privacy, and interdisciplinary collaboration are critical for the successful integration of AI in stroke rehabilitation.

Abstract

Stroke is a leading cause of disability worldwide, driving the need for advanced rehabilitation strategies. The integration of Artificial Intelligence (AI) into stroke rehabilitation presents significant advancements across the continuum of care, from acute diagnosis to long-term recovery. This review explores AI’s role in stroke rehabilitation, highlighting its impact on early diagnosis, motor recovery, and cognitive rehabilitation. AI-driven imaging techniques, such as deep learning applied to CT and MRI scans, improve early diagnosis and identify ischemic penumbra, enabling timely, personalized interventions. AI-assisted decision support systems optimize acute stroke treatment, including thrombolysis and endovascular therapy. In motor rehabilitation, AI-powered robotics and exoskeletons provide precise, adaptive assistance, while AI-augmented Virtual and Augmented Reality environments offer immersive, tailored recovery experiences. Brain-Computer Interfaces utilize AI for neurorehabilitation through neural signal processing, supporting motor recovery. Machine learning models predict functional recovery outcomes and dynamically adjust therapy intensities. Wearable technologies equipped with AI enable continuous monitoring and real-time feedback, facilitating home-based rehabilitation. AI-driven tele-rehabilitation platforms overcome geographic barriers by enabling remote assessment and intervention. The review also addresses the ethical, legal, and regulatory challenges associated with AI implementation, including data privacy and technical integration. Future research directions emphasize the transformative potential of AI in stroke rehabilitation, with case studies and clinical trials illustrating the practical benefits and efficacy of AI technologies in improving patient recovery.

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