Smart Medical Libraries: Leveraging Artificial Intelligence for Knowledge Discovery

Abstract

The exponential growth of biomedical data and clinical information necessitates the transformation of traditional medical libraries into intelligent knowledge ecosystems. This study explores the integration of artificial intelligence (AI) technologies-including natural language processing, machine learning, metadata automation, and explainable AI-within smart medical libraries to enhance knowledge discovery, information retrieval, and clinical decision support. Through a qualitative review of recent literature in medical informatics and library sciences, this paper synthesizes current AI-driven applications and evaluates their impact on research acceleration, personalized education, and precision medicine. The findings highlight the transformative potential of AI-enabled libraries as intermediary infrastructures between raw biomedical data and actionable clinical insights. While significant benefits are identified, challenges related to data privacy, algorithmic transparency, financial investment, and technical expertise remain critical considerations. The study underscores the necessity of interdisciplinary collaboration to optimize AI deployment in medical knowledge management systems.