NEUROSURGERY RESIDENT NIMS UNIVERSITY , JAIPUR Jaipur, India
Introduction: Stroke remains a predominant cause of disability globally, necessitating advancements in rehabilitation strategies to enhance patient recovery. The burgeoning field of Artificial Intelligence (AI) and personalized medicine presents novel interventions that promise to revolutionize post-stroke care. This paper synthesizes findings from 12 studies that explore AI-based interventions, encompassing machine learning, wearable tech, and brain imaging, among others, to chart the course for future rehabilitation techniques.
Methods: The paper aggregates diverse methodologies from international research endeavors, ranging from prospective comparative studies to sophisticated deep learning and tensor-based models. These methods have been applied to assess a variety of rehabilitation tools, including wearable devices, virtual reality, and robotics, with the aim to evaluate their efficacy in the context of stroke recovery. Techniques such as Gaussian mixture modeling and lesion-symptom mapping have been pivotal in analyzing the studies' outcomes.
Results: The compiled studies demonstrate encouraging outcomes, showing advancements in upper limb functionality, fall prevention, motor outcome prediction, and progress tracking using innovative technologies. Other significant findings include the assessment of stroke infarct location on life quality, brain age estimation, and the effectiveness of virtual reality in addressing hemispatial neglect. Additionally, robotic aids and auditory feedback mechanisms have shown utility in rehabilitation, along with an adaptive stimulator for foot movement in gait impairment.
Conclusion : The collective evidence from the examined studies underscores the critical role of AI and personalized interventions in stroke rehabilitation. The promising results not only pave the way for enhancing patient recovery outcomes but also open up new horizons for research. This body of work serves as a testament to the potential of technology-driven and tailored rehabilitation approaches, warranting continued exploration and development in this imperative domain.
