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.
关键词
数字病理/智慧病理/数智化病理科/人工智能/医学信息技术
Key words
Digital pathology/Intelligent pathology/Intelligent pathology department/Artificial intelligence/Medical information technology
维普
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