Artificial Intelligent Approach for Spinal Cord Diseases: A Comprehensive Review
Keywords:
Spinal cord diseases,, Artificial Intelligence,, diagnostic tools, Diagnosis and treatment,, prediction.Abstract
Spinal cord diseases, which include traumatic injuries, degenerative disorders, tumors, congenital
anomalies, and infections, have significant challenges to healthcare owing to their complex nature
and varying degrees of severity. In recent years, the integration of Artificial Intelligence (AI)
techniques such as machine learning (ML), deep learning (DL), and natural language processing
(NLP) has shown great potential in enhancing the accuracy of early diagnosis, personalized
treatment plans, and predicting disease progression. The paper systematically reviews the existing
literature, highlighting AI-driven diagnostic tools, image analysis techniques, and AI-supported
rehabilitation strategies. This review can provide a comprehensive understanding of the current AI
advancements in spinal cord diseases, identifying gaps and offering insights for future research to
improve patient outcomes.
