人工智能在耳鼻喉科声学数据中的应用。

IF 1.3 4区 医学 Q3 OTORHINOLARYNGOLOGY
Anthony Law MD, PhD
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引用次数: 0

摘要

人工智能(AI),尤其是深度学习,凭借其对复杂、嘈杂系统进行高精度建模的能力,在各个领域掀起了一场革命。在深度神经网络(DNN)、硬件和数据数字化的推动下,深度学习在许多任务中的表现已可与人类相媲美。本综述侧重于深度学习在耳鼻喉科,特别是喉科和耳科中的应用。通过利用声学和其他临床数据的数字档案,这些专业正开始整合 DNN,以加强对患者的护理。我们将探讨关键研究、挑战以及人工智能改变这些分支学科的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Artificial Intelligence to Acoustic Data in Otolaryngology
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
152
审稿时长
6-12 weeks
期刊介绍: Otolaryngologic Clinics of North America updates you on the latest trends in patient management; keeps you up to date on the newest advances; and provides a sound basis for choosing treatment options. Each issue focuses on a single topic in otolaryngology and is presented under the direction of an experienced guest editor.
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