Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Vaghefi, Ehsan"'
Purpose: To create and evaluate the accuracy of an artificial intelligence Deep learning platform (ORAiCLE) capable of using only retinal fundus images to predict both an individuals overall 5 year cardiovascular risk (CVD) and the relative contribut
Externí odkaz:
http://arxiv.org/abs/2207.14685
Autor:
Vaghefi, Ehsan, Hosseini, Seyedmehrab, Azimi, Mohsen, Shmatok, Andrii, Zhao, Rong, Prorok, Bart, Mirkoohi, Elham
Publikováno v:
In Journal of Manufacturing Processes 15 July 2024 121:499-511
Publikováno v:
In Journal of Manufacturing Processes 15 June 2024 119:952-963
Publikováno v:
In Materials Today Communications August 2024 40
Purpose: to assess the efficacy of THEIA, an artificial intelligence for screening diabetic retinopathy in a multi-center prospective study. To validate the potential application of THEIA as clinical decision making assistant in a national screening
Externí odkaz:
http://arxiv.org/abs/2106.12979
Autor:
Vaghefi, Ehsan, Squirrell, David, Yang, Song, An, Songyang, Xie, Li, Durbin, Mary K., Hou, Huiyuan, Marshall, John, Shreibati, Jacqueline, McConnell, Michael V., Budoff, Matthew
Publikováno v:
In Cardiovascular Digital Health Journal April 2024 5(2):59-69
Autor:
Vaghefi, Ehsan, Hosseini, Seyedmehrab, Afsharinejad, Amir Hossein, Prorok, Bart, Mirkoohi, Elham
Publikováno v:
In Additive Manufacturing 25 March 2024 84
Publikováno v:
In Ophthalmology Science January-February 2024 4(1)
Autor:
An, Songyang1,2 (AUTHOR) Songyang.an@auckland.ac.nz, Vaghefi, Ehsan1,2 (AUTHOR), Yang, Song2 (AUTHOR), Xie, Li2 (AUTHOR), Squirrell, David2,3 (AUTHOR)
Publikováno v:
PLoS ONE. 11/30/2023, Vol. 18 Issue 11, p1-13. 13p.
Publikováno v:
In Journal of Manufacturing Processes 29 September 2023 102:549-563