Artificial intelligence-based quantification of retinal microvascular biomarkers from fundus photography of chronic kidney disease: a case-control study.
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| Title: | Artificial intelligence-based quantification of retinal microvascular biomarkers from fundus photography of chronic kidney disease: a case-control study. |
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| Authors: | Gu Q; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China., Liu M; Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China.; West China School of Nursing, Sichuan University, Chengdu, China., Zhang W; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China., Chen Z; Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital, Sichuan University, Chengdu, China., Wang X; EVision Technology (Beijing) Co., Ltd., Beijing, China., Wang J; EVision Technology (Beijing) Co., Ltd., Beijing, China., He Z; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China., Lu F; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 May 18; Vol. 13, pp. 1719984. Date of Electronic Publication: 2026 May 18 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2026.1719984 |
