Enhancing Clinical Decision-Making: Integrating AI for Real-Time, Patient-Centric Diagnosis

Abstract

Through the creation of precise and efficient diagnostic systems Artificial intelligence (AI) transforms healthcare practice by boosting clinical decision support. The introduction of artificial intelligence for handling large datasets has proven beneficial yet its entry into clinical settings remains challenging because of privacy issues and bias potential and reliance upon machine-generated advice. The article analyses the state of AI implementations in clinical decision support systems (CDSS) by discussing existing benefits alongside challenges together with potential solutions for closing the gap between AI technology adoption and practical clinical implementation. This research combines existing literature analysis with current trending methods to establish specific directions for developing ethical AI-driven diagnosis tools that improve healthcare delivery.