OBJECTIVE Little is known about the efficacy of using artificial intelligence to identify laryngeal carcinoma from images of vocal lesions taken in different hospitals with multiple laryngoscope systems. This multicenter study was aimed to establish an artificial intelligence system and provide a reliable auxiliary tool to screen for laryngeal carcinoma. Study Design: Multicentre case-control study Setting: Six tertiary care centers Participants: The laryngoscopy images were collected from 2179 patients with vocal lesions. Outcome Measures: An automatic detection system of laryngeal carcinoma was established based on Faster R-CNN, which was used to distinguish vocal malignant and benign lesions in 2179 laryngoscopy images acquired from 6 hospitals with 5 types of laryngoscopy systems. Pathology was the gold standard to identify malignant and benign vocal lesions. Results: Among 89 cases of the malignant group, the classifier was able to evaluate the laryngeal carcinoma in 66 patients (74.16%, sensitivity), while the classifier was able to assess the benign laryngeal lesion in 503 cases among 640 cases of the benign group (78.59%, specificity). Furthermore, the CNN-based classifier achieved an overall accuracy of 78.05% with a 95.63% negative prediction for the testing dataset. Conclusion: This automatic diagnostic system has the potential to assist clinical laryngeal carcinoma diagnosis, which may improve and standardize the diagnostic capacity of endoscopists using different laryngoscopes.

Changes in sensitization rates in patients with asthma and/or rhinitis in China between 2008 and 2018: a national cross-sectional studyWanjun Wang1*, Jianhong Wang2*, Guihua Song3*, Hua Xie4*, Xiaoping Lin4*, Ruonan Chai4*, Rongfei Zhu5*, Yong He6*, Jun Tang7*, Junge Wang8*, Jinghua Yang9*, Lili Zhi10*, Lin Wu11*, Yan Jiang12*, Xiaoqin Zhou13*, Dongming Huang14*, Ning Wang15*, Rui Xu16*, Yuan Gao17*, Zhimin Chen18*, Jinling Liu18*, Xiaoli Han19*, Guolin Tan20*, Jinzhun Wu21*, Deyu Zhao22*, Jianjun Chen23*, Xiwei Zhang24*, Mengrong Li24*, Yuemei Sun25*, Yi Jiang26*, Weitian Zhang27*, Qianhui Qiu28*, Chuanhe Liu29*, Jie Yin30*, Guodong Hao31*, Huabin Li32*, Yongsheng Xu33*, Shaohua Chen34*, Hua Zhang35, Shi Chen36, Juan Meng37, Dan Zeng38, Wei Tang39, Chuangli Hao40, Jing Li1†, Nanshan Zhong1†, for the China Alliance of Research on Respiratory Allergic Disease*Contributed equally†Joint corresponding authors1 National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University;2 The First People’s Hospital of Yibin, Sichuan;3 The First Affiliated Hospital of Henan University of Traditional Chinese Medicine;4 General Hospital of Northern Theater Command;5 Tongji Hospital, Tongji Medical College, Huazhong University of Science&Technology;6 The Affiliated Hospital of Medical School, Ningbo University;7 Foshan First people’s hospital;8 Beijing Hospital of Traditional Chinese Medicine;9 GuangDong Provincial Hospital of Chinese Medicine;10 The First Affiliated Hospital of Shandong First Medical University, Shandong Institute of Respiratory Diseases;11 Hangzhou Hospital of Traditional Chinese;12 The Affiliated Hospital of Qingdao University;13 Hubei Province Maternal and Child Health Hospital;14 Boai Hospital of Zhongshan City;15 Xi’an Children’s Hospital;16 The First Affiliated Hospital of Sun-Yat University;17 The First Affiliated Hospital of Zhengzhou University;18 Children’s Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health;19 Hebei General Hospital;20 Third Xiangya Hospital of Central South University;21 The Women and Children’s Hospital affiliated to Xiamen University;22 Children’s Hospital of Nanjing Medical University;23 Union hospital of Tongji medical college;24 The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University;25 Yu Huang Ding Hospital;26 The First Hospital of Shanxi Medical University;27 Shanghai Jiao Tong University Affiliated Sixth People’s Hospital;28 Zhujiang Hospital of Southern Medical University;29 Children’s Hospital Capital Institute of Pediatrics;30 Chengdu First People’s Hospital;31 Tangshan Gongren Hospital;32 ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University;33 Children’s Hospital of Tianjin University;34 Guangdong Provincial People’s Hospital;35 The First Affiliated Hospital of Xinjiang Medical University;36 Hainan provincial people’s Hospital;37 West China Hospital of Sichuan University;38 Chongqing General Hospital, University of Chinese Academy of Sciences;39 Ruijin Hospital of Shanghai Jiaotong University;40 Children’s Hospital of Soochow University.