基于机器学习的人工智能技术在耳鼻喉科临床诊疗中的应用进展

doi:10.6040/j.issn.1673-3770.0.2021.026

摘要/Abstract

摘要： 人工智能(AI)为计算机科学分支,现已应用于各个领域,其作用得以充分显现。在医学领域,AI正改变着传统的医疗模式,未来必将成为人类医疗发展的方向。机器学习为实现AI技术的重要方法,目前广泛应用于临床数据深度挖掘、影像组学特征分析、疾病预测模型建立等相关领域,在临床诊断、治疗及预后方面起到重要辅助作用。在耳鼻喉科领域,具体有图像分析与分类、语音信号处理、构建各类临床模型等方面以辅助医疗决策,认知与了解基于机器学习的AI技术,并合理应用于临床,才能最大化发挥其作用。鉴于此,本文将简要介绍人工智能的概念及在医学领域的应用现状,重点阐述基于机器学习的AI技术在耳鼻喉科相关疾病临床诊疗中应用进展,为耳鼻喉科医师临床诊疗提供参考。

关键词: 人工智能, 机器学习, 深度学习, 耳鼻喉科

Abstract: Artificial intelligence(AI)is a branch of computer science, which has been applied in various fields, and its role has been fully demonstrated. In the field of medicine, AI is changing the traditional medical model, and will become the direction of human medical development in the future. Machine learning is an important method to realize AI technology. At present, it is widely used in clinical data deep mining, imageomics feature analysis, disease prediction model building and other related aspects,and it plays an important auxiliary role in clinical diagnosis, treatment and prognosis. In the field of Otolaryngology, there are image analysis and classification, voice signal processing,construction of various disease prediction models to assist medical decision-making. Only by recognizing and understanding the AI technology based on machine learning, and applying it in clinic, can we maximize its effect. In view of this, this paper will briefly introduce the concept of artificial intelligence and its application status in the medical field, focusing on the application progress of AI technology based on machine learning in the clinical diagnosis and treatment of Otolaryngology related diseases, so as to provide reference for otolaryngologists in clinical diagnosis and treatment

Key words: Artificial Intelligence, Machine Learning, Deep Learning, Otolaryngology

中图分类号:

R762

王迪,程金章,于丹. 基于机器学习的人工智能技术在耳鼻喉科临床诊疗中的应用进展[J]. 山东大学耳鼻喉眼学报, 2021, 35(6): 125-131.

WANG Di, CHENG Jinzhang,YU Dan. Application of artificial intelligence based on machine learning in clinical diagnosis and treatment in otolaryngology[J]. Journal of Otolaryngology and Ophthalmology of Shandong University, 2021, 35(6): 125-131.

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