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作 者:Hongyi Wang Rongguo Zhang Xiaojuan Guo Han Kang Min Liu Ulrich Costabel Chen Wang Huaping Dai 王弘熠;张荣国;郭晓娟;亢寒;刘敏;Ulrich Costabel;王辰;代华平
机构地区:[1]China-Japan Friendship Hospital(Institute of Clinical Medical Sciences),Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100029,China [2]National Center for Respiratory Medicine,State Key Laboratory of Respiratory Health and Multimorbidity,National Clinical Research Center for Respiratory Diseases,Institute of Respiratory Medicine,Chinese Academy of Medical Sciences,Department of Pulmonary and Critical Care Medicine,Center of Respiratory Medicine,China-Japan Friendship Hospital,Beijing 100029,China [3]Academy for Multidisciplinary Studies,Capital Normal University,Beijing 100048,China [4]The Department of Radiology,Beijing Chaoyang Hospital of Capital Medical University,Beijing 100020,China [5]Institute of Advanced Research,Infervision Medical Technology Co.,Ltd.,Beijing 100025,China [6]f The Department of Radiology,China-Japan Friendship Hospital,Beijing 100029,China [7]Center for Interstitial and Rare Lung Diseases,Pneumology Department,Ruhrlandklinik,University of Duisburg-Essen,Essen,45239,Germany
出 处:《Science Bulletin》2025年第4期437-440,共4页科学通报(英文版)
基 金:supported by the National Key Research and Development Program of China(2021YFC2500700 and 2016YFC0901101);the National Natural Science Foundation of China(81870056).
摘 要:Interstitial lung diseases(ILD)encompass over 200 lung disorders marked by inflammation and/or fibrosis,posing significant diagnostic and treatment challenges[1].The American Thoracic Society recommends a multidisciplinary approach for accurate ILD diagnosis[2].In the real world,this multidisciplinary approach is time-consuming and resource-intensive.Clinicians hope to speed up the diagnostic process with the help of artificial intelligence(AI).
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