Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records.
Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records.
复制标题
DOI:
10.1080/08820538.2021.1893351
复制
发表时间:
2021-05-19
影响因子:
1.7
通讯作者:
Silva PS
中科院分区:
文献类型:
--
作者:
Jacoba CMP;Celi LA;Silva PS
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.
登录
查看更多内容
DOI:
10.1056/nejmoa1001288
发表时间:
2010-07-15
期刊:
The New England journal of medicine
影响因子:
--
作者:
ACCORD Study Group;ACCORD Eye Study Group;Chew EY;Ambrosius WT;Davis MD;Danis RP;Gangaputra S;Greven CM;Hubbard L;Esser BA;Lovato JF;Perdue LH;Goff DC Jr;Cushman WC;Ginsberg HN;Elam MB;Genuth S;Gerstein HC;Schubart U;Fine LJ
通讯作者:
Fine LJ
影响因子:
5.4
作者:
Bhaskaranand, Malavika;Ramachandra, Chaithanya;Solanki, Kaushal
通讯作者:
Solanki, Kaushal
影响因子:
3.4
作者:
Hardarson,Sveinn Hakon
通讯作者:
Hardarson,Sveinn Hakon
DOI:
10.1900/rds.2015.12.159
发表时间:
2015-03-01
期刊:
The review of diabetic studies : RDS
影响因子:
--
作者:
Jenkins, Alicia J;Joglekar, Mugdha V;Januszewski, Andrzej S
通讯作者:
Januszewski, Andrzej S
影响因子:
168.9
作者:
Keech, A. C.;Mitchell, P.;Colman, P. G.
通讯作者:
Colman, P. G.