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Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adapt to the challenges in the healthcare field. Among...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814440/ https://www.ncbi.nlm.nih.gov/pubmed/36623438 http://dx.doi.org/10.1016/j.compbiomed.2022.106517 |
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author | Zhang, Jun Wu, Jingyue Qiu, Yiyi Song, Aiguo Li, Weifeng Li, Xin Liu, Yecheng |
author_facet | Zhang, Jun Wu, Jingyue Qiu, Yiyi Song, Aiguo Li, Weifeng Li, Xin Liu, Yecheng |
author_sort | Zhang, Jun |
collection | PubMed |
description | The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adapt to the challenges in the healthcare field. Among them, intelligent speech technology (IST) has served doctors and patients to improve the efficiency of medical behavior and alleviate the medical burden. However, problems like noise interference in complex medical scenarios and pronunciation differences between patients and healthy people hamper the broad application of IST in hospitals. In recent years, technologies such as machine learning have developed rapidly in intelligent speech recognition, which is expected to solve these problems. This paper first introduces IST's procedure and system architecture and analyzes its application in medical scenarios. Secondly, we review existing IST applications in smart hospitals in detail, including electronic medical documentation, disease diagnosis and evaluation, and human-medical equipment interaction. In addition, we elaborate on an application case of IST in the early recognition, diagnosis, rehabilitation training, evaluation, and daily care of stroke patients. Finally, we discuss IST's limitations, challenges, and future directions in the medical field. Furthermore, we propose a novel medical voice analysis system architecture that employs active hardware, active software, and human-computer interaction to realize intelligent and evolvable speech recognition. This comprehensive review and the proposed architecture offer directions for future studies on IST and its applications in smart hospitals. |
format | Online Article Text |
id | pubmed-9814440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98144402023-01-05 Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review Zhang, Jun Wu, Jingyue Qiu, Yiyi Song, Aiguo Li, Weifeng Li, Xin Liu, Yecheng Comput Biol Med Article The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adapt to the challenges in the healthcare field. Among them, intelligent speech technology (IST) has served doctors and patients to improve the efficiency of medical behavior and alleviate the medical burden. However, problems like noise interference in complex medical scenarios and pronunciation differences between patients and healthy people hamper the broad application of IST in hospitals. In recent years, technologies such as machine learning have developed rapidly in intelligent speech recognition, which is expected to solve these problems. This paper first introduces IST's procedure and system architecture and analyzes its application in medical scenarios. Secondly, we review existing IST applications in smart hospitals in detail, including electronic medical documentation, disease diagnosis and evaluation, and human-medical equipment interaction. In addition, we elaborate on an application case of IST in the early recognition, diagnosis, rehabilitation training, evaluation, and daily care of stroke patients. Finally, we discuss IST's limitations, challenges, and future directions in the medical field. Furthermore, we propose a novel medical voice analysis system architecture that employs active hardware, active software, and human-computer interaction to realize intelligent and evolvable speech recognition. This comprehensive review and the proposed architecture offer directions for future studies on IST and its applications in smart hospitals. Elsevier Ltd. 2023-02 2023-01-05 /pmc/articles/PMC9814440/ /pubmed/36623438 http://dx.doi.org/10.1016/j.compbiomed.2022.106517 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Jun Wu, Jingyue Qiu, Yiyi Song, Aiguo Li, Weifeng Li, Xin Liu, Yecheng Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title | Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title_full | Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title_fullStr | Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title_full_unstemmed | Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title_short | Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review |
title_sort | intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814440/ https://www.ncbi.nlm.nih.gov/pubmed/36623438 http://dx.doi.org/10.1016/j.compbiomed.2022.106517 |
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