ARTIFICIAL INTELLIGENCE IN PREDICTING PROGRESSION IN ADVANCED CKD: FROM ALGORITHM DEVELOPMENT TO REAL-WORLD DEPLOYMENT
 
Back
E-Poster
https://storage.unitedwebnetwork.com/files/1099/c248cd05cbf65dbc295c10262387717d.pdf
Abstract Title
ARTIFICIAL INTELLIGENCE IN PREDICTING PROGRESSION IN ADVANCED CKD: FROM ALGORITHM DEVELOPMENT TO REAL-WORLD DEPLOYMENT
First Name *
Ricardo
Last Name *
Aguilar Grajeda
Co-author 1
Priyanka Arya priyanka.arya@awak.com AWAK Technologies AWAK Technologies Singapore
Co-author 2
Chin-Chi Kuo chinchik@gmail.com China Medical University Hospital and College of Medicine, China Medical University Division of Nephrology, Department of Internal Medicine Taichung
Co-author 3
Mandar Gori mandar.gori@awak.com AWAK Technologies AWAK Technologies Singapore
Co-author 4
Suresha Venkataraya suresh.venkataraya@awak.com AWAK Technologies AWAK Technologies Singapore
Co-author 5
Joel Fernandes joel.fernandes@awak.com AWAK Technologies AWAK Technologies Singapore
Co-author 6
Sanjay Singh sanjay.singh@awak.com AWAK Technologies AWAK Technologies Singapore
Co-author 7
Yu-Ting Lin 033703@tool.caaumed.org.tw China Medical University Hospital and College of Medicine, China Medical University Big Data Center Taichung
Co-author 8
Hsiu-Yin Chiang 032031@tool.caaumed.org.tw China Medical University Hospital and College of Medicine, China Medical University Big Data Center Taichung
Co-author 9
Yi-Chun Chan fanny.chen@everfortune.ai EverFortune.AI EverFortune.AI Taichung
Co-author 10
Min-Yen Wu 083742@tool.caaumed.org.tw China Medical University Hospital and College of Medicine, China Medical University Big Data Center Taichung
Co-author 11
Zi-Han Lin 037212@tool.caaumed.org.tw China Medical University Hospital and College of Medicine, China Medical University Big Data Center Taichung
Co-author 12
Arsh Kumar Jain arsh.jain@lhsc.on.ca London Health Sciences Centre Department of Nephrology London
Co-author 13
Co-author 14
Co-author 15
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