VALIDATION OF AI-POWERED CLINICAL DECISION SUPPORT SYSTEMS IN DIAGNOSTIC ACCURACY: A MULTI-CENTER PROSPECTIVE STUDY

Abstract

The validation of Artificial Intelligence (AI)-powered Clinical Decision Support Systems (CDSS) is critical in improving diagnostic accuracy, time efficiency, and healthcare resource utilization. This multi-center prospective study evaluates the diagnostic performance of the DoctorAssist.AI CDSS engine compared to traditional diagnostic approaches. Data collected from participating centers were analyzed for metrics including diagnostic accuracy, time-to-diagnosis, and resource utilization. Results demonstrate a significant enhancement in diagnostic precision and efficiency when using AI assistance, highlighting its clinical utility and alignment with regulatory standards for broader adoption.