Abstract

Background: Spinal trauma poses a significant healthcare challenge, with approximately 17,000 new spinal cord injury cases annually in the U.S. Current triage systems are often inefficient, leading to increased costs and delayed treatment. Neuro-Clear AI is designed to address these inefficiencies by providing a specialized, AI-driven solution for spinal trauma triage.
Objective: This paper aims to present the development, integration, and potential impact of Neuro- Clear AI, focusing on its role in enhancing triage accuracy, streamlining clinical workflows and improving patient outcomes in spinal trauma care.
Methods: We review Neuro-Clear AI’s technical integration with Electronic Medical Records (EMRs), its clinical workflow adaptation, and the strategies for its successful implementation. Additionally, we explore the system’s future directions, including expanding clinical applications, enhancing AI capabilities and global deployment.
Results: Neuro-Clear AI shows promise in improving the accuracy of spinal trauma assessments and integrating seamlessly with existing clinical workflows. The system’s implementation is supported by robust technical and clinical strategies, with a focus on data security and stakeholder engagement.
Conclusion: Neuro-Clear AI represents a significant advancement in spinal trauma triage, offering a targeted AI solution that enhances clinical decision-making and operational efficiency. Future developments include expanding its applications and integrating it into resource-limited settings to broaden its impact.

Keywords:Neuro-Clear AI; Spinal trauma; Artificial intelligence; Healthcare integration; Clinical workflows; Data security