International Journal of Science and Technology (IJST)

AI-Driven Clinical Decision Support Systems: Current Advances and Future Trajectories

Artificial Intelligence (AI)-driven Clinical Decision Support Systems (CDSS) are revolutionizing healthcare by enhancing clinical decision-making, improving diagnostic accuracy, and optimizing patient outcomes. This paper presents an extensive review of the current advances in AI-enabled CDSS, exploring how machine learning algorithms, natural language processing, and deep learning techniques are integrated to analyze complex clinical data. It discusses the role of AI in transforming traditional CDSS from rule-based systems to adaptive, predictive, and personalized tools. The paper also examines the challenges of AI implementation, including data quality, interpretability, and clinician trust, alongside future trajectories such as real-time analytics, integration with wearable technologies, and precision medicine. By synthesizing recent research and case studies, this review highlights the critical role of AI-driven CDSS in shaping the future of patient-centered healthcare.