嗓音分析与内镜技术结合人工智能在咽喉病变诊疗中的应用和发展

宋琦; 李晓明

doi:10.13201/j.issn.2096-7993.2022.08.017

嗓音分析与内镜技术结合人工智能在咽喉病变诊疗中的应用和发展

宋琦^1, ,,
李晓明¹

- 中国人民解放军联勤保障部队第九八〇医院耳鼻咽喉头颈外科(石家庄，050082)

详细信息

通讯作者: 宋琦，E-mail：13315100789@126.com

中图分类号: R766.5

收稿日期: 2021-12-14

刊出日期: 2022-08-03

Application and development of voice analysis and endoscopic technology combined with artificial intelligence in the diagnosis and treatment of throat disease

SONG Qi^1, ,,
LI Xiaoming¹

- Department of Otolaryngology Head and Neck Surgery, the 980th Hospital of the Joint Logistics Support Unit of the Chinese PLA, Shijiazhuang, 050082, China

More Information

Corresponding author: SONG Qi, E-mail: 13315100789@126.com

Received Date: 14 December 2021

Publish Date: 03 August 2022

摘要

摘要: 耳鼻喉科咽喉病变诊疗中，将嗓音分析或内镜技术与人工智能结合的应用和发展迅猛。本文通过文献复习，回顾了嗓音分析或内镜技术与人工智能结合的历史和原理，对其应用和发展现状进行了总结，概括其优势在于强大的学习和判读能力、惊人的速度和耐性以及稳定的复制和拓展性。目前制约其发展的关键是机器学习过程中的不确定性、小样本引起的误差和伦理上的哲学思考。未来的发展方向应该是耳鼻咽喉头颈外科医生在掌握过硬的专业知识基础上，学习流行病学、经典统计学领域相关知识，加强与机器学习开发人员之间的交流合作，最终使先进的科学技术能在临床真正地使用，最大程度造福广大患者。
- 咽喉疾病 /
- 嗓音分析 /
- 内镜技术 /
- 人工智能
Abstract: In the diagnosis and treatment of throat disease, the application and development of combining voice analysis or endoscopic technology with artificial intelligence has developed rapidly. This paper reviews the history and principles of the combination of voice analysis or endoscopic technology with artificial intelligence, summarizes its status of application and development, and sums up its advantages that lie in the strong learning and interpretation ability, amazing speed and tolerance, and stable replication and expansion. The key to restrict its development is the uncertainty in the process of machine learning, the error caused by small samples, and the ethical philosophical thinking. Future development direction should be that the surgeons in otolaryngology head and neck department on the basis of excellent professional knowledge, learn related knowledge of epidemiology, classic statistics, strengthen the exchanges and cooperation with machine learning developers. Eventually, advanced science and technology can be truly used in clinical practice to maximize the benefit of the majority of patients.
- throat disease /
- voice analysis /
- endoscopic technology /
- artificial intelligence

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参考文献(29)

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