《生命科学》 2022, 34(8): 941-947
人工智能最早应用于呼吸系统医学影像分析，从肺部放射影像开始，影像智能分析技术能对肺部肿瘤、炎性结节等占位性病变进行快速测量并检出病变，提高了医师的阅片效率。随着自然语言识别技术、机器深度学习技术等的发展，人工智能分析技术逐步拓展到了临床路径管理、慢病管理、重大疾病防控、药物研发等领域。但是，随着AI 应用的深度拓展，越来越多的问题和挑战逐步显露出来：未来如何面对挑战，在呼吸疾病领域如何发展人工智能技术，以及如何安全合理地使用智能技术。本文系统回顾了AI 在呼吸系统的应用现状，并针对问题提出对未来的发展预期。
通讯作者：卢清君 , Email:firstname.lastname@example.org
Artificial intelligence (AI) was first applied to the medical image analysis of the respiratory system. Starting with the lung radiation image, the image intelligence analysis technology can quickly measure and detect the space occupying lesions such as lung tumors and inflammatory nodules, which improves the efficiency of doctors' film reading. With the development of natural language recognition technology and machine deep learning technology, artificial intelligence analysis technology has gradually expanded to clinical pathway management, chronic disease management, major disease prevention and control, drug research and development and other fields. However, with the in-depth development of AI applications, more and more problems and challenges have gradually emerged: how to face challenges in the future, how to develop artificial intelligence technology in the field of respiratory diseases, and how to use intelligent technology safely and reasonably. This paper systematically reviews the current application of AI in the respiratory system, and puts forward expectations for future development in view of the problems.
Communication Author：LU Qing-Jun , Email:email@example.com