Construction and Application Exploration of an Artificial Intelligence-Assisted Quality Control System for Medical Imaging Reports
Li Xiaoting
Yang Zheng
Sun Yingshi
Abstract：The Artificial Intelligence(AI)-based auxiliary imaging report quality control system can address is-sues inherent in traditional manual quality control,such as low efficiency,inconsistent standards,poor accuracy,and outdated management.With the construction goals of full-dimensional quality control,high-efficiency review,full-process standardized management,and real-time accurate traceability management,the system adopts a"da-ta layer-technology layer-application layer"architecture.It integrates PACS/RIS/HIS data with AI technology,and significantly improves core performance compared with the traditional methods.It enhances the precise manage-ment capabilities of hospitals and departments,contributes to the high-quality development of hospitals and depart-ments,and holds considerable application value.
Keywords：imaging reportquality controlArtificial Intelligence
Publication Date：2026-02-05
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：3( 84-86 )