Merging artificial intelligence and retinal vascular geometric parameters: a novel tool for diagnosis and prognosis prediction of diabetic nephropathy

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Merging artificial intelligence and retinal vascular geometric parameters: a novel tool for diagnosis and prognosis prediction of diabetic nephropathy
E-Poster Presentation

During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center. 

Preparing your E-Poster

Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.

​E-Poster Submission Deadline

Please prepare and upload your E-Poster no later than January 23, 2025. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.​

E-Poster Format Requirements
  • PDF file
  • Layout: Portrait (vertical orientation)
  • One page only (Dim A4: 210 x 297mm or PPT)
  • E-Poster can be prepared in PowerPoint (one (1) PowerPoint slide) but must be saved and submitted as PDF file.
  • File Size: Maximum file size is 2 Megabytes (2 MB)
  • No hyperlinks, animated images, animations, and slide transitions
  • Language: English
  • Include your abstract number
  • E-posters can include QR codes, tables and photos
https://storage.unitedwebnetwork.com/files/1099/b43c5ffd690c6741a5a831c37f96a9d7.pdf
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Xiaoniao Chen 1525980867@qq.com Third Medical Center of Chinese PLA General Hospital Senior Department of Ophthalmology Beijing China
Fang Liu 279313071@qq.com First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research Department of Nephrology Beijing China
Qian Wang 794317255@qq.com First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research Department of Nephrology Beijing China
Guangyan Cai caiguangyan@sina.com First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research Department of Nephrology Beijing China
Zheyi Dong shengdai26@163.com First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research Department of Nephrology Beijing China