Advances in artificial intelligence in thyroid-associated ophthalmopathy

Autor: Chenyuan Yi, Geng Niu, Yinghuai Zhang, Jing Rao, Guiqin Liu, Weihua Yang, XingZhen Fei
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Endocrinology, Vol 15 (2024)
Druh dokumentu: article
ISSN: 1664-2392
DOI: 10.3389/fendo.2024.1356055
Popis: Thyroid-associated ophthalmopathy (TAO), also referred to as Graves’ ophthalmopathy, is a medical condition wherein ocular complications arise due to autoimmune thyroid illness. The diagnosis of TAO, reliant on imaging, typical ocular symptoms, and abnormalities in thyroid function or thyroid-associated antibodies, is generally graded and staged. In recent years, Artificial intelligence(AI), particularly deep learning(DL) technology, has gained widespread use in the diagnosis and treatment of ophthalmic diseases. This paper presents a discussion on specific studies involving AI, specifically DL, in the context of TAO, highlighting their applications in TAO diagnosis, staging, grading, and treatment decisions. Additionally, it addresses certain limitations in AI research on TAO and potential future directions for the field.
Databáze: Directory of Open Access Journals