Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success

Journal article

Open access

Peer reviewed

Risa M. Wolf, Roomasa Channa, Harold P. Lehmann, Michael D. Abramoff and T.Y. Alvin Liu

Clinical diabetes, Vol.42(1), pp.142-149

Winter 2024

DOI: 10.2337/cd23-0019

PMCID: PMC10788651

PMID: 38230333

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https://doi.org/10.2337/cd23-0019View

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Title: Subtitle: Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success
Creators: Risa M. Wolf - Johns Hopkins Medicine
Roomasa Channa - University of Wisconsin–Madison
Harold P. Lehmann - Johns Hopkins University
Michael D. Abramoff - University of Iowa
T.Y. Alvin Liu
Resource Type: Journal article
Publication Details: Clinical diabetes, Vol.42(1), pp.142-149
DOI: 10.2337/cd23-0019
PMID: 38230333
PMCID: PMC10788651
NLM abbreviation: Clin Diabetes
ISSN: 0891-8929
eISSN: 1945-4953
Grant note: DOI: 10.13039/100000053, name: National Eye Institute, award: R01EY033233
Language: English
Electronic publication date: 09/18/2023
Date published season: Winter 2024
Date published: 2024
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984465458602771

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