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- W3197451605 abstract "Objective: 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." @default.
- W3197451605 created "2021-09-13" @default.
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- W3197451605 date "2021-09-08" @default.
- W3197451605 modified "2023-09-23" @default.
- W3197451605 title "[Application of adaptive technology-based speech recognition system in 600 pathological grossing process]." @default.
- W3197451605 doi "https://doi.org/10.3760/cma.j.cn112151-20210101-00001" @default.
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