Stroke remains the leading cause of long-term disability and mortality worldwide, with every minute of delayed diagnosis resulting in irreversible neuronal damage. Recent advancements in AI-powered imaging and portable diagnostic devices are transforming the stroke diagnosis landscape by enabling rapid, decentralized, and data-driven assessment. This analysis examines the technological evolution of portable stroke diagnosis devices and AI-powered stroke detection, highlighting their role in stroke triage, improving hospital workflow, and post-stroke monitoring. It examines how emerging companies are tackling the challenges posed by infrastructure and cost-dependent MRI facilities by miniaturizing key components, which allows for portability in both hospital and outpatient settings.

• How is the increasing prevalence of strokes and the integration of telemedicine driving adoption and growth?
• Which strategic analytics can help stakeholders, innovators, and healthcare systems accelerate stroke diagnosis, enhance patient outcomes, and achieve growth?
• What are the growth avenues in AI-driven imaging and portable devices reshaping stroke emergency care?