Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records

The goal of personalized diabetes eye care is to accurately predict in real-time the risk of diabetic retinopathy (DR) progression and visual loss. The use of electronic health records (EHR) provides a platform for artificial intelligence (AI) algorithms that predict DR progression to be incorporate...

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Bibliographic Details
Published inSeminars in ophthalmology Vol. 36; no. 4; p. 250
Main Authors Jacoba, Cris Martin P, Celi, Leo Anthony, Silva, Paolo S
Format Journal Article
LanguageEnglish
Published England 19.05.2021
Subjects
Artificial Intelligence
Biomarkers
Diabetes Mellitus
Diabetic Retinopathy - diagnosis
Electronic Health Records
Humans
Precision Medicine
electronic health records
diabetic retinopathy
Artificial intelligence
biomarkers
personalized medicine
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Summary:The goal of personalized diabetes eye care is to accurately predict in real-time the risk of diabetic retinopathy (DR) progression and visual loss. The use of electronic health records (EHR) provides a platform for artificial intelligence (AI) algorithms that predict DR progression to be incorporated into clinical decision-making. By implementing an algorithm on data points from each patient, their risk for retinopathy progression and visual loss can be modeled, allowing them to receive timely treatment. Data can guide algorithms to create models for disease and treatment that may pave the way for more personalized care. Currently, there exist numerous challenges that need to be addressed before reliably building and deploying AI algorithms, including issues with data quality, privacy, intellectual property, and informed consent.
ISSN:1744-5205
DOI:10.1080/08820538.2021.1893351