A Systematic Review of Artificial Intelligence in Early Stroke Detection and Ongoing Neurological Monitoring: Nursing Implications

Authors

  • Deva P
  • Dr. Hema.V.H
  • Dr. Parameswari. M
  • Dr. Motcharakkini. L
  • Mrs. Jenifar Monisha.A

Keywords:

AI-based systems

Abstract

Stroke is still a major cause of death and long-term disability around the world. To avoid
permanent brain damage, it is important to diagnose it quickly and keep checking the person's
neurological condition. Delays, differences between observers, and a lack of resources can
make traditional clinical and radiological procedures difficult. The emergence of Artificial
Intelligence (AI) has demonstrated potential as an effective tool for enhancing the early
detection of strokes, automating monitoring procedures, and assisting in clinical decision-
making. Still, the evidence is already out there about how well it works and what it means for
nursing practice is not clear.

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Published

2026-03-30

How to Cite

Deva P, Dr. Hema.V.H, Dr. Parameswari. M, Dr. Motcharakkini. L, & Mrs. Jenifar Monisha.A. (2026). A Systematic Review of Artificial Intelligence in Early Stroke Detection and Ongoing Neurological Monitoring: Nursing Implications. The Bioscan, 21(1), 2399–2414. Retrieved from https://www.thebioscan.com/index.php/pub/article/view/5478