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.
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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  Data: <searchLink fieldCode="AU" term="%22Jeon+YJ%22">Jeon YJ</searchLink>; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+JS%22">Song JS</searchLink>; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Borghare+S%22">Borghare S</searchLink>; RetiMark R&D Center, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+Y%22">Lee Y</searchLink>; RetiMark R&D Center, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+YW%22">Choi YW</searchLink>; RetiMark R&D Center, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+J%22">Song J</searchLink>; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+S%22">Lim S</searchLink>; Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Woo+SJ%22">Woo SJ</searchLink>; Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2026 May 08; Vol. 13, pp. 1807809. <i>Date of Electronic Publication: </i>2026 May 08 (<i>Print Publication: </i>2026).
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        Value: 10.3389/fmed.2026.1807809
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      – TitleFull: Detection of referable diabetic retinopathy using machine learning on routine clinical data.
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              Text: 2026 May 08
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