Middle and outer ear diseases are common otological diseases worldwide. Otoscopy and otoendoscopy examinations are essential first steps in the evaluation of patients with otological diseases. Misdiagnosis often occurs when the doctor lacks experience in interpreting the results of otoscopy or otoendoscopy, leading to delays in treatment or complications. Using deep learning to process otoscopy images and developing otoscopic artificial-intelligence-based decision-making systems will become a significant trend in the future. However, the uneven quality of otoscopy images is among the major obstacles to development of such artificial intelligence systems, and no standardized process for data acquisition, and annotation of otoscopy images in intelligent medicine has yet been fully established. The standards for data storage and data management are unified with those of other specialties and are introduced in detail here. This expert recommendation criterion improved and standardized the collection and annotation procedures for otoscopy images and fills the current gap in otologic intelligent medicine; it would thus lay a solid foundation for the standardized collection, storage, and annotation of otoscopy images and the application of training algorithms, and promote the development of automatic diagnosis and treatment for otological diseases. The full text introduced image collection (including patient preparation, equipment standards, and image storage), image annotation standards, and quality control.

Otoscopy image;Intelligent medicine;Annotation;Collection

Cai Yuexin;Zeng Junbo;Lan Liping;Chen Suijun;Ou Yongkang;Zeng Linqi;Yang Qintai;Li Peng;Chen Yubin;Li Qi;Zhang Hongzheng;Shu Fan;Chen Guoping;Chen Wenben;Yang Yahan;Li Ruiyang;Yan Anqi;Lin Haotian;Zheng Yiqing

Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510120, China;Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, Guangdong 516600, China;Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China;Department of Otolaryngology Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China;Department of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, South Medical University, Guangzhou, Guangdong 510515, China;Department of Otolaryngology-Head & Neck Surgery, Zhujiang Hospital, South Medical University, Guangzhou, Guangdong 510280, China;Department of Otolaryngology, Zhongshan City People’s Hospital, Zhongshan Affiliated Hospital of Sun Yat-sen University, Zhongshan, Guangdong 528403, China;Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China

智慧医学（英文）

[1]Cai Yuexin;Zeng Junbo;Lan Liping;Chen Suijun;Ou Yongkang;Zeng Linqi;Yang Qintai;Li Peng;Chen Yubin;Li Qi;Zhang Hongzheng;Shu Fan;Chen Guoping;Chen Wenben;Yang Yahan;Li Ruiyang;Yan Anqi;Lin Haotian;Zheng Yiqing-.Expert recommendations on collection and annotation of otoscopy images for intelligent medicine)[J].智慧医学（英文）,2022(04):230-234

otoscopy,otological,Otoscopy,otoendoscopy,otoscopic,otologic

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