听诊器的发展:随着机器学习的采用和可穿戴设备的发展而进步。

IF 2.5 Q2 RESPIRATORY SYSTEM
Tuberculosis and Respiratory Diseases Pub Date : 2023-10-01 Epub Date: 2023-08-18 DOI:10.4046/trd.2023.0065
Yoonjoo Kim, YunKyong Hyon, Seong Dae Woo, Sunju Lee, Song-I Lee, Taeyoung Ha, Chaeuk Chung
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引用次数: 0

摘要

听诊器长期以来一直用于检查患者,但由于其一些局限性和其他诊断工具的发展,听诊的重要性已经下降。然而,听诊仍然被认为是一种主要的诊断设备,因为它是非侵入性的,可以实时提供有价值的信息。为了补充现有听诊器的局限性,已经开发了具有机器学习(ML)算法的数字听诊器。因此,现在我们可以记录和共享呼吸声音,使用ML算法的人工智能辅助听诊可以区分声音的类型。最近,对需要隔离的远程护理和非面对面治疗疾病的需求增加,如2019冠状病毒病(新冠肺炎)感染。为了解决这些问题,随着电池技术和集成传感器的进步,正在开发无线和可穿戴听诊器。这篇综述提供了听诊器的历史和呼吸音的分类,描述了ML算法,并介绍了基于人工智能辅助分析和无线或可穿戴听诊器的新听诊方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.

The stethoscope has long been used for the examination of patients, but the importance of auscultation has declined due to its several limitations and the development of other diagnostic tools. However, auscultation is still recognized as a primary diagnostic device because it is non-invasive and provides valuable information in real-time. To supplement the limitations of existing stethoscopes, digital stethoscopes with machine learning (ML) algorithms have been developed. Thus, now we can record and share respiratory sounds and artificial intelligence (AI)-assisted auscultation using ML algorithms distinguishes the type of sounds. Recently, the demands for remote care and non-face-to-face treatment diseases requiring isolation such as coronavirus disease 2019 (COVID-19) infection increased. To address these problems, wireless and wearable stethoscopes are being developed with the advances in battery technology and integrated sensors. This review provides the history of the stethoscope and classification of respiratory sounds, describes ML algorithms, and introduces new auscultation methods based on AI-assisted analysis and wireless or wearable stethoscopes.

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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
42
审稿时长
12 weeks
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