Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy

Cris Martin Jacoba; Duy Doan; Dean Zhang; Ward Fickweiler; Catherine Jamison; Ahmed Souka; Monsef Kharboush; Frank Albert; Kaye Locaylocay; Moses Job Dumapig; Recivall Salongcay; Mohamed Ashraf; Jennifer K Sun; Tunde Peto; Lloyd P Aiello; Paolo Silva

Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy

Cris Martin Jacoba^*, Duy Doan, Dean Zhang, Ward Fickweiler, Catherine Jamison, Ahmed Souka, Monsef Kharboush, Frank Albert, Kaye Locaylocay, Moses Job Dumapig, Recivall Salongcay, Mohamed Ashraf, Jennifer K Sun, Tunde Peto, Lloyd P Aiello, Paolo Silva

^*Corresponding author for this work

Research output: Contribution to journal › Meeting abstract › peer-review

Original language	English
Pages (from-to)	255
Number of pages	1
Journal	Investigative Opthalmology and Visual Science
Volume	64
Issue number	8
Publication status	Published - 01 Jun 2023
Event	Association for Research in Vision and Ophthalmology Annual Meeting 2023 - Ernest N. Morial Convention Center, New Orleans, United States Duration: 23 Apr 2023 → 27 Apr 2023

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https://iovs.arvojournals.org/article.aspx?articleid=2790810&resultClick=1Licence: CC BY-NC-ND

Cite this

Jacoba, C. M., Doan, D., Zhang, D., Fickweiler, W., Jamison, C., Souka, A., Kharboush, M., Albert, F., Locaylocay, K., Dumapig, M. J., Salongcay, R., Ashraf, M., Sun, J. K., Peto, T., Aiello, L. P., & Silva, P. (2023). Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy. Investigative Opthalmology and Visual Science, 64(8), 255. https://iovs.arvojournals.org/article.aspx?articleid=2790810&resultClick=1

@article{b170e0deb73040cabe3e3903e0eeeed1,

title = "Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy",

author = "Jacoba, {Cris Martin} and Duy Doan and Dean Zhang and Ward Fickweiler and Catherine Jamison and Ahmed Souka and Monsef Kharboush and Frank Albert and Kaye Locaylocay and Dumapig, {Moses Job} and Recivall Salongcay and Mohamed Ashraf and Sun, {Jennifer K} and Tunde Peto and Aiello, {Lloyd P} and Paolo Silva",

year = "2023",

month = jun,

day = "1",

language = "English",

volume = "64",

pages = "255",

journal = "Investigative Opthalmology and Visual Science",

issn = "1552-5783",

publisher = "Association for Research in Vision and Ophthalmology Inc.",

number = "8",

note = "Association for Research in Vision and Ophthalmology Annual Meeting 2023, ARVO 2023 ; Conference date: 23-04-2023 Through 27-04-2023",

}

Jacoba, CM, Doan, D, Zhang, D, Fickweiler, W, Jamison, C, Souka, A, Kharboush, M, Albert, F, Locaylocay, K, Dumapig, MJ, Salongcay, R, Ashraf, M, Sun, JK, Peto, T, Aiello, LP & Silva, P 2023, 'Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy', Investigative Opthalmology and Visual Science, vol. 64, no. 8, pp. 255. <https://iovs.arvojournals.org/article.aspx?articleid=2790810&resultClick=1>

TY - JOUR

T1 - Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy

AU - Jacoba, Cris Martin

AU - Doan, Duy

AU - Zhang, Dean

AU - Fickweiler, Ward

AU - Jamison, Catherine

AU - Souka, Ahmed

AU - Kharboush, Monsef

AU - Albert, Frank

AU - Locaylocay, Kaye

AU - Dumapig, Moses Job

AU - Salongcay, Recivall

AU - Ashraf, Mohamed

AU - Sun, Jennifer K

AU - Peto, Tunde

AU - Aiello, Lloyd P

AU - Silva, Paolo

PY - 2023/6/1

Y1 - 2023/6/1

M3 - Meeting abstract

SN - 1552-5783

VL - 64

SP - 255

JO - Investigative Opthalmology and Visual Science

JF - Investigative Opthalmology and Visual Science

IS - 8

T2 - Association for Research in Vision and Ophthalmology Annual Meeting 2023

Y2 - 23 April 2023 through 27 April 2023

ER -