Li, Tingyao;
Lin, Shiqun;
Guan, Zhouyu;
Zhou, Yukun;
Zeng, Dian;
Wang, Zheyuan;
Zhou, Yan;
... Sheng, Bin; + view all
(2025)
A deep learning system for detecting systemic lupus erythematosus from retinal images.
Cell Reports Medicine
, Article 102203. 10.1016/j.xcrm.2025.102203.
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Abstract
Systemic lupus erythematosus (SLE) is a serious autoimmune disorder predominantly affecting women. However, screening for SLE and related complications poses significant challenges globally, due to complex diagnostic criteria and public unawareness. Since SLE-related retinal involvement could provide insights into disease activity and severity, we develop a deep learning system (DeepSLE) to detect SLE and its retinal and kidney complications from retinal images. In multi-ethnic validation datasets comprising 247,718 images from China and UK, DeepSLE achieves areas under the receiver operating characteristic curve of 0.822-0.969 for SLE. Additionally, DeepSLE demonstrates robust performance across subgroups stratified by gender, age, ethnicity, and socioeconomic status. To ensure DeepSLE's explainability, we conduct both qualitative and quantitative analyses. Furthermore, in a prospective reader study, DeepSLE demonstrates higher sensitivities compared with primary care physicians. Altogether, DeepSLE offers digital solutions for detecting SLE and related complications from retinal images, holding potential for future clinical deployment.
| Type: | Article |
|---|---|
| Title: | A deep learning system for detecting systemic lupus erythematosus from retinal images |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.xcrm.2025.102203 |
| Language: | English |
| Additional information: | © 2025 The Authors. Published by Elsevier Inc. 1 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Keywords: | color fundus photography, deep learning, health equity, lupus nephritis, lupus retinopathy, multi-ethnic validation, opportunistic screening, reader study, retinal imaging, systemic lupus erythematosus |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10210635 |
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