Objective To explore its current applications and prospects in pathology image processing,diagnostic support,and medical information management systems.Methods To review the evolution of intelligent pathology and its specific applications in pathology image processing and diagnostic support.We analyze the innovative role of deep learning technology in pathology image recognition and analysis.Using a real-world application case in a hospital as an example,we summarize the advantages and potential of intelligent pathology systems in improving diagnostic accuracy and workflow efficiency.Additionally,we conduct an analysis of the technical challenges that need to be addressed.Results Deep learning technology exhibits revolutionary performance in pathology image analysis,and intelligent pathology systems show significant potential in enhancing diagnostic accuracy and workflow efficiency.Conclusion The intelligent pathology department construction,leveraging intelligent pathology systems,demonstrates significant advantages,but also presents technical challenges that need to be addressed.
Digital pathologyIntelligent pathologyIntelligent pathology departmentArtificial intelligenceMedical information technology
维普
万方数据
