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Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.

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Title: Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.
Authors: Bhak Y; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.; Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea., Lee YH; Division of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Gyeonggi-do, Republic of Korea., Kim J; Department of Ophthalmology, CHA Bundang Medical Center, CHA University, Gyeonggi-do, Republic of Korea., Lee K; Spidercore Inc, Daejeon, Republic of Korea., Lee D; Spidercore Inc, Daejeon, Republic of Korea., Jang EC; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea., Jang E; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea., Lee CS; Department of Ophthalmology, Institute of Vision Research, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Kang ES; Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea., Park S; Department of ICT Safety, Graduate School of Chung-Ang University, Seoul, Republic of Korea.; IAEC Medical Service, Seoul, Republic of Korea., Han HW; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.; Institute of Basic Medical Sciences, School of Medicine, CHA University, Gyeonggi-do, Republic of Korea.; Healthcare Big Data Center, CHA Bundang Medical Center, Gyeonggi-do, Republic of Korea., Nam SM; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.; Daechi Yonsei Eye Clinic, Seoul, Republic of Korea.
Source: JMIR medical informatics [JMIR Med Inform] 2025 Feb 07; Vol. 13, pp. e55825. Date of Electronic Publication: 2025 Feb 07.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.
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  Data: <searchLink fieldCode="AU" term="%22Bhak+Y%22">Bhak Y</searchLink>; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.; Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+YH%22">Lee YH</searchLink>; Division of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Department of Ophthalmology, CHA Bundang Medical Center, CHA University, Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+K%22">Lee K</searchLink>; Spidercore Inc, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+D%22">Lee D</searchLink>; Spidercore Inc, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jang+EC%22">Jang EC</searchLink>; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jang+E%22">Jang E</searchLink>; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+CS%22">Lee CS</searchLink>; Department of Ophthalmology, Institute of Vision Research, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+ES%22">Kang ES</searchLink>; Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Department of ICT Safety, Graduate School of Chung-Ang University, Seoul, Republic of Korea.; IAEC Medical Service, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Han+HW%22">Han HW</searchLink>; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.; Institute of Basic Medical Sciences, School of Medicine, CHA University, Gyeonggi-do, Republic of Korea.; Healthcare Big Data Center, CHA Bundang Medical Center, Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Nam+SM%22">Nam SM</searchLink>; Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.; Daechi Yonsei Eye Clinic, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2025 Feb 07; Vol. 13, pp. e55825. <i>Date of Electronic Publication: </i>2025 Feb 07.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2291-9694 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>MEDLINE
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