Advancing Post‐Stroke Rehabilitation: Emerging and Current Neuromodulation Approaches and Integration of Artificial Intelligence‐Driven Closed‐Loop Systems

ABSTRACT Chronic stroke represents a significant global health burden, requiring innovative rehabilitation strategies that extend beyond conventional therapies. Neuromodulation, including transcutaneous vagus nerve stimulation, deep brain stimulation, and brain–computer interfaces, has emerged as a transformative approach, leveraging neuroplasticity to enhance motor and cognitive recovery. Integrating artificial intelligence (AI) within these modalities enables adaptive, patient‐specific interventions through real‐time feedback, predictive modeling, and advanced signal processing. This perspective article provides a comparative analysis of these neuromodulation techniques, examines clinical evidence, while also identifying AI‐centric research priorities to address current challenges.