Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images-Reference-Cited by-同舟云学术

Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images

Published:2023-08 Issue:8 Volume:7 Page:703-712
ISSN:2468-6530
Container-title:Ophthalmology Retina
language:en
Short-container-title:Ophthalmology Retina

Author:

Jacoba Cris Martin P.^ORCID,Doan Duy,Salongcay Recivall P.^ORCID,Aquino Lizzie Anne C.,Silva Joseph Paolo Y.,Salva Claude Michael G.,Zhang Dean,Alog Glenn P.,Zhang Kexin^ORCID,Locaylocay Kaye Lani Rea B.,Saunar Aileen V.,Ashraf Mohamed,Sun Jennifer K.,Peto Tunde^ORCID,Aiello Lloyd Paul^ORCID,Silva Paolo S.^ORCID

Publisher

Elsevier BV

Subject

Ophthalmology

Reference35 articles.

1. Disparities in receipt of eye exams among Medicare part B fee-for-service beneficiaries with diabetes—United States, 2017;Lundeen;MMWR Morb Mortal Wkly Rep,2019

2. Disparities in diabetic retinopathy screening and disease for racial and ethnic minority populations—a literature review;Nsiah-Kumi;J Natl Med Assoc,2009

3. Biomarkers for progression in diabetic retinopathy: expanding personalized medicine through integration of AI with electronic health records;Jacoba;Semin Ophthalmol,2021

4. Bias and non-diversity of big data in artificial intelligence: focus on retinal diseases;Jacoba;Semin Ophthalmol,2023

5. Addressing artificial intelligence bias in retinal disease diagnostics;Burlina;Transl Vis Sci Technol,2021

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4. Automated machine learning model for fundus image classification by health-care professionals with no coding experience;Scientific Reports;2024-05-06

5. Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program;Ophthalmology Science;2024-05