人工智能在呼吸医学中的应用

Chunxi Zhang, Weijin Wu, Jia Yang, Jiayuan Sun
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引用次数: 4

摘要

近年来,得益于大数据的曙光、计算能力的大幅提升、算法研究的突破,人工智能发展迅速,在医学领域的应用也取得了显著进展。在呼吸医学领域,肺癌的辅助诊断是目前医学人工智能研究最多的课题。因此,本文主要围绕肺癌的诊断流程展开,全面总结人工智能在肺结节分割与检测、肺结节良/恶性及胸内淋巴结分型、肺癌病理影像分型、肺癌预后分析等方面的应用。此外,简要介绍了人工智能在COVID-19、气胸、胸腔积液等其他呼吸系统疾病中的应用。综上所述,人工智能在呼吸系统疾病的辅助诊断中得到了广泛的应用,在不久的将来有很大的潜力成为呼吸内科医生的宝贵助手。
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Application of artificial intelligence in respiratory medicine
In recent years, thanks to the dawn of big data, the substantial improvement in computing power, and breakthroughs in algorithm research, artificial intelligence has developed rapidly, and remarkable progress has also been made in its application in medicine. In the field of respiratory medicine, the auxiliary diagnosis of lung cancer is currently the topic on which medical artificial intelligence is the most studied. Therefore, this paper mainly focuses on the diagnosis procedure of lung cancer, and comprehensively summarizes the application of artificial intelligence in the segmentation and detection of pulmonary nodules, classification of benign/malignant pulmonary nodules and intrathoracic lymph nodes, classification of lung cancer pathological images, and lung cancer prognosis analysis. In addition, the application of artificial intelligence in other respiratory diseases such as COVID-19, pneumothorax and pleural effusion is briefly introduced. In summary, artificial intelligence is widely used in the auxiliary diagnosis of respiratory diseases, and has a great potential to become a valuable assistant to respiratory physicians in the near future.
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