主管单位:中华人民共和国
国家卫生健康委员会
主办单位:中国医师协会
总编辑:杨秋
编辑部主任:吴翔宇
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英文作者:Hao Kun1 Shen Wenbin1 Wang Rengui2
单位:1首都医科大学附属北京世纪坛医院淋巴外科,北京100038;2首都医科大学附属北京世纪坛医院放射科,北京100038
英文单位:1Department of Lymphatic Surgery Beijing Shijitan Hospital Capital Medical University Beijing 100038 China; 2Department of Radiology Beijing Shijitan Hospital Capital Medical University Beijing 100038 China
关键词:间质性肺疾病;人工智能;人工神经网络;深度学习;卷积神经网络
英文关键词:Interstitiallungdisease;Artificialintelligence;Artificialneuralnetwork;Deeplearning;Convolutionalneuralnetwork
间质性肺疾病是一组包括200余种疾病亚型的呼吸系统疾病,该类疾病起病隐匿,缺乏早期诊断、疾病监测以及预后评估的敏感指标。人工智能在医学中应用广泛,尤其在图像识别、疾病诊断中起重要作用。本文简要描述了人工智能在医学中的应用,介绍了人工智能作为新型技术的潜在应用价值及其在间质性肺疾病中应用的研究进展,并阐述其局限性和面临的挑战。
Interstitial lung disease is a group of respiratory diseases including more than 200 disease subtypes. The onset of this kind of disease is hidden, and there is a lack of sensitive indicators for early diagnosis, disease monitoring and prognosis evaluation. Artificial intelligence is widely used in medicine, especially in image recognition and disease diagnosis. This paper briefly describes the application of artificial intelligence in medicine, introduces the potential application value of artificial intelligence as a new technology and its research progress in interstitial lung disease, and expounds its limitations and challenges.
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