摘要目的:探索建立基于自适应技术的语音识别系统并评估其在临床病理取材中的应用价值。方法:收集浙江省人民医院2020年10月1日至12月31日间收到的组织标本600例，在病理取材工作中使用基于自适应技术构建的语音识别系统，记录并生成病理取材报告。结果:基于自适应技术构建的语音识别系统显示较好的识别率，整体识别率（Acc）为77.87%，初步实现病理取材报告的快速录入和输出。结论:语音识别系统可以降低人力成本，提高病理医师工作效率，提升医疗服务质量，对建设新型智慧医院具有重要的应用价值。

abstractsObjective:To establish a speech recognition system based on adaptive technology and to evaluate its value in pathological grossing processes.Methods:A total of 600 tissue specimens were collected at the Zhejiang Provincial People's Hospital affiliated to Hangzhou Medical College between October 1, 2020 and December 31, 2020. A speech recognition system based on adaptive technology was used in the pathological grossing processes, and the pathological examination reports were generated and extracted.Results:The speech recognition system based on adaptive technology showed a good recognition rate (overall recognition rate = 77.87%) and helped achieve rapid input and output of pathological examination data.Conclusions:The speech recognition system can reduce the labor costs, improve the work efficiency of pathologists and increase the quality of medical services, which may be valuable for building next-generation smart hospitals.