Background: Stroke remains one of the leading causes of disability and mortality worldwide. Although advances in acute stroke management have significantly improved survival rates, recovery outcomes vary substantially among patients. Understanding clinical predictors of stroke recovery is essential for prognosis, rehabilitation planning, individualized treatment strategies, and healthcare resource allocation.

Objective: This review examines key clinical predictors influencing stroke recovery, including demographic characteristics, stroke severity, neuroimaging findings, comorbidities, rehabilitation intensity, cognitive function, psychosocial factors, and emerging biomarkers. The study aims to provide a comprehensive overview of factors associated with favorable and unfavorable recovery outcomes.

Methods: A narrative review of contemporary literature, clinical guidelines, observational studies, and rehabilitation research was conducted to identify and analyze predictors of post-stroke recovery and functional outcomes.

Results: Stroke recovery is influenced by multiple interrelated factors. Strong predictors include initial stroke severity, age, lesion location, cognitive status, comorbidities, rehabilitation intensity, social support, and early neurological improvement. Emerging predictors such as neuroimaging biomarkers, genetic markers, inflammatory biomarkers, and artificial intelligence-based predictive models show promise in enhancing prognostic accuracy.

Conclusion: Stroke recovery is a multifactorial process involving biological, clinical, psychological, and environmental determinants. Early identification of prognostic factors can facilitate personalized rehabilitation approaches and improve long-term functional outcomes. Future advances in precision rehabilitation and predictive analytics may further optimize recovery trajectories.