Detection of referable diabetic retinopathy using machine learning on routine clinical data.
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| Title: | Detection of referable diabetic retinopathy using machine learning on routine clinical data. |
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| Authors: | Jeon YJ; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Song JS; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Borghare S; RetiMark R&D Center, Seoul, Republic of Korea., Lee Y; RetiMark R&D Center, Seoul, Republic of Korea., Choi YW; RetiMark R&D Center, Seoul, Republic of Korea., Song J; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Lim S; Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Woo SJ; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 May 08; Vol. 13, pp. 1807809. Date of Electronic Publication: 2026 May 08 (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.2026.1807809 |
