Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2291-9694 |
|---|---|
| DOI: | 10.2196/55825 |
