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人工智能在甲状腺相关性眼病中的研究进展与应用

Research progress and application of artificial intelligence in thyroid associated ophthalmopathy.

作者信息

Diao Jiale, Chen Xinxin, Shen Ya, Li Jian, Chen Yuqing, He Linfeng, Chen Sainan, Mou Pei, Ma Xiaoye, Wei Ruili

机构信息

Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.

出版信息

Front Cell Dev Biol. 2023 Jan 24;11:1124775. doi: 10.3389/fcell.2023.1124775. eCollection 2023.

Abstract

Thyroid-associated ophthalmopathy (TAO) is a complicated orbitopathy related to dysthyroid, which severely destroys the facial appearance and life quality without medical interference. The diagnosis and management of thyroid-associated ophthalmopathy are extremely intricate, as the number of professional ophthalmologists is limited and inadequate compared with the number of patients. Nowadays, medical applications based on artificial intelligence (AI) algorithms have been developed, which have proved effective in screening many chronic eye diseases. The advanced characteristics of automated artificial intelligence devices, such as rapidity, portability, and multi-platform compatibility, have led to significant progress in the early diagnosis and elaborate evaluation of these diseases in clinic. This study aimed to provide an overview of recent artificial intelligence applications in clinical diagnosis, activity and severity grading, and prediction of therapeutic outcomes in thyroid-associated ophthalmopathy. It also discussed the current challenges and future prospects of the development of artificial intelligence applications in treating thyroid-associated ophthalmopathy.

摘要

甲状腺相关性眼病(TAO)是一种与甲状腺功能异常相关的复杂眼眶疾病,若不进行医学干预,会严重破坏面容并降低生活质量。甲状腺相关性眼病的诊断和治疗极为复杂,因为与患者数量相比,专业眼科医生的数量有限且不足。如今,基于人工智能(AI)算法的医学应用已得到开发,事实证明其在筛查多种慢性眼病方面行之有效。自动化人工智能设备的先进特性,如快速性、便携性和多平台兼容性,已在这些疾病的临床早期诊断和精细评估方面取得了显著进展。本研究旨在概述人工智能在甲状腺相关性眼病临床诊断、活动度和严重程度分级以及治疗效果预测方面的最新应用。同时,还讨论了人工智能应用在治疗甲状腺相关性眼病方面发展目前面临的挑战和未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d026/9903073/5fa7cf8f7636/fcell-11-1124775-g001.jpg

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