Clinical Validation of an Artificial Intelligence-Based Scoring System for the Modified Rankin Scale (mRS) in Patients With Stroke

This study aims to validate the clinical performance of an artificial intelligence (AI)-based automatic scoring system for the Modified Rankin Scale (mRS). The core comparison is the consistency and accuracy between the AI-generated scores and standardized manual mRS follow-up assessments performed by trained professionals. The goal is to provide a convenient, efficient, and objective tool for stroke prognosis assessment, reduce the subjective variability of manual scoring, and optimize the stroke follow-up workflow.

NCT Number	NCT07544927
Lead Sponsor	Xuanwu Hospital, Beijing Collaborators: Capital Medical University, People's Hospital of Beijing Daxing District, Beijing Tiantan Hospital, The First Hospital of Fangshan District,Beijing
Conditions	Stroke
Enrollment	490 participants
Start Date	2026-04-10
Primary Completion	2028-12-31 (estimated)
Study Completion	2028-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-04-22