A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts.
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| Title: | A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts. |
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| Authors: | Buergel T; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany; Institute of Cardiovascular Sciences, University College London, London, UK., Loock L; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany., Steinfeldt J; Institute of Cardiovascular Sciences, University College London, London, UK; Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Berlin, Germany; Friede Springer Cardiovascular Prevention Center@Charite, Charité - Universitätsmedizin Berlin, Berlin, Germany., Kronenberg N; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany., Hoffmann L; Department of Ophthalmology, Charité - Universitätsmedizin Berlin, Berlin, Germany., Künzel SE; Department of Ophthalmology, Charité - Universitätsmedizin Berlin, Berlin, Germany., Upmeier Zu Belzen J; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany., Arnoldt L; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany., Khawaja AP; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK., Luben R; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK., Foster PJ; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK., Langenberg C; Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; Precision Healthcare University Research Institute, Queen Mary University of London, London, UK; Max Planck Institute for Molecular Genetics, Berlin, Germany., Landmesser U; Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Berlin, Germany; Friede Springer Cardiovascular Prevention Center@Charite, Charité - Universitätsmedizin Berlin, Berlin, Germany; DZHK German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany., Deanfield J; Institute of Cardiovascular Sciences, University College London, London, UK., Zeitz O; Department of Ophthalmology, Charité - Universitätsmedizin Berlin, Berlin, Germany., Joussen AM; Department of Ophthalmology, Charité - Universitätsmedizin Berlin, Berlin, Germany., Pietzner M; Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; Health Data Modelling, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany; Precision Healthcare University Research Institute, Queen Mary University of London, London, UK., Wild B; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany; Institute of Cardiovascular Sciences, University College London, London, UK., Eils R; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, Germany; Health Data Science Unit, Heidelberg University Hospital and BioQuant, Heidelberg, Germany; Intelligent Medicine Institute, Fudan University, Shanghai, China. Electronic address: roland.eils@bih-charite.de. |
| Source: | The Lancet. Digital health [Lancet Digit Health] 2026 Mar; Vol. 8 (3), pp. 100962. Date of Electronic Publication: 2026 Mar 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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