Innovative Application of AI in Medical Decision Support System and Implementation of Precision Medicine

Abstract

With the deepening of the concept of precision medicine, the practicability of clinical decision support systems in hospitals has become increasingly significant. The powerful data processing and individualized prompts brought by AI applications have enabled it to transform from an auxiliary tool to an intelligent and precise platform. This article mainly focuses on the innovative application of AI in clinical decision support systems and explores the implementation process of its application in aspects such as the establishment of diagnostic models, treatment selection, and risk prediction. For the current obstacles existing in the process of precision medicine, such as low acceptance of usage, weak interpretability of the model, data heterogeneity, and insufficient generalization ability of the model, an optimization path is proposed, providing theoretical guidance and practical reference for high-quality precision medicine empowered by AI.