Use the labels in the right column to find what you want. Or you can go thru them one by one, there are only 31,940 posts. Searching is done in the search box in upper left corner. I blog on anything to do with stroke. DO NOT DO ANYTHING SUGGESTED HERE AS I AM NOT MEDICALLY TRAINED, YOUR DOCTOR IS, LISTEN TO THEM. BUT I BET THEY DON'T KNOW HOW TO GET YOU 100% RECOVERED. I DON'T EITHER BUT HAVE PLENTY OF QUESTIONS FOR YOUR DOCTOR TO ANSWER.
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:
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.
No comments:
Post a Comment