An Intelligent Diagnostic System for Thyroid-Associated Ophthalmopathy Based on Facial Images

Frontiers in Medicine

Wanji He¹  Xin Zhao¹  Zhiwen Yang¹  Jianhao Xiong¹  Xin Wang¹  Xuan Yao¹  Lin Wang¹  Yelin Huang¹  Linfeng He²  Pan Li²  Jian Li²  Xiao Huang²  Fei Tong²  Ruili Wei²  Yun Zhang²  Siyu Liu³  Lie Ju⁴  Zongyuan Ge⁴  Weihua Yang⁵ 

[1] Airdoc LLC, Beijing, China;Department of Ophthalmology, Changzheng Hospital, Naval Medical University, Shanghai, China;Department of Ophthalmology, Naval Medical Center of the People’s Liberation Army, Naval Medical University, Shanghai, China;Faculty of Engineering, Monash University, Clayton, VIC, Australia;The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China;

关键词: artificial intelligence;    diagnosis;    facial images;    machine learning;    medical data analysis;    thyroid-associated ophthalmopathy;   

DOI  :  10.3389/fmed.2022.920716

来源: DOAJ

【 摘 要 】

BackgroundThyroid-associated ophthalmopathy (TAO) is one of the most common orbital diseases that seriously threatens visual function and significantly affects patients’ appearances, rendering them unable to work. This study established an intelligent diagnostic system for TAO based on facial images.MethodsPatient images and data were obtained from medical records of patients with TAO who visited Shanghai Changzheng Hospital from 2013 to 2018. Eyelid retraction, ocular dyskinesia, conjunctival congestion, and other signs were noted on the images. Patients were classified according to the types, stages, and grades of TAO based on the diagnostic criteria. The diagnostic system consisted of multiple task-specific models.ResultsThe intelligent diagnostic system accurately diagnosed TAO in three stages. The built-in models pre-processed the facial images and diagnosed multiple TAO signs, with average areas under the receiver operating characteristic curves exceeding 0.85 (F1 score >0.80).ConclusionThe intelligent diagnostic system introduced in this study accurately identified several common signs of TAO.

【 授权许可】

Unknown