Peer-Reviewed Publication
Ophthalmol Sci2024;4(1):100412.January 1, 2024Journal Article
A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy.
Lisa Y Lin1, Paul Zhou2, Min Shi3, Jonathan E Lu1, Soomin Jeon4, Doyun Kim5, Josephine M Liu6, Mengyu Wang3, Synho Do6, Nahyoung Grace Lee1
1Department of Ophthalmology, Ophthalmic Plastic Surgery Service, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
2Department of Ophthalmology, Gavin Herbert Eye Institute, University of California Irvine, Irvine, California.
3Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
4Department of Information Sciences and Mathematics, Dong-A University, Busan, Republic of Korea.
5Data Science, Athenahealth, Watertown, Massachusetts.
6Department of Radiology, Lab of Medical Imaging and Computation, Massachusetts General Brigham and Harvard Medical School, Boston, Massachusetts.
Abstract
PURPOSE: Thyroid eye disease (TED) is an autoimmune condition with an array of clinical manifestations, which can be complicated by compressive optic neuropathy. It is important to identify patients with TED early to ensure close monitoring and treatment to prevent potential permanent disability or vision loss. Deep learning artificial intelligence (AI) algorithms have been utilized in ophthalmolo…
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