Abstract
AI-driven decision support systems (DSS) are becoming essential tools for healthcare providers, aiding in the delivery of accurate diagnoses, personalized treatment plans, and improved patient outcomes. This article explores the role of AI in healthcare decision support, examining how machine learning models, natural language processing, and predictive analytics are being used to enhance clinical decision-making. It discusses the various applications of AI DSS in areas such as diagnosis, treatment recommendations, patient monitoring, and workflow optimization. Additionally, the article addresses the challenges and ethical considerations associated with the integration of AI into healthcare settings, including data privacy, transparency, and the need for human oversight.
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