Journal article
Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease
NPJ digital medicine, Vol.7(1), 369
12/19/2024
DOI: 10.1038/s41746-024-01389-x
PMCID: PMC11659561
PMID: 39702673
Abstract
Where adopted, Autonomous artificial Intelligence (AI) for Diabetic Retinal Disease (DRD) resolves longstanding racial, ethnic, and socioeconomic disparities, but AI adoption bias persists. This preregistered trial determined sensitivity and specificity of a previously FDA authorized AI, improved to compensate for lower contrast and smaller imaged area of a widely adopted, lower cost, handheld fundus camera (RetinaVue700, Baxter Healthcare, Deerfield, IL) to identify DRD in participants with diabetes without known DRD, in primary care. In 626 participants (1252 eyes) 50.8% male, 45.7% Hispanic, 17.3% Black, DRD prevalence was 29.0%, all prespecified non-inferiority endpoints were met and no racial, ethnic or sex bias was identified, against a Wisconsin Reading Center level I prognostic standard using widefield stereoscopic photography and macular Optical Coherence Tomography. Results suggest this improved autonomous AI system can mitigate AI adoption bias, while preserving safety and efficacy, potentially contributing to rapid scaling of health access equity. ClinicalTrials.gov NCT05808699 (3/29/2023).
Details
- Title: Subtitle
- Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease
- Creators
- Michael D. Abràmoff - University of IowaPhilip T. Lavin - National Foundation for Cancer ResearchJulie R. Jakubowski - Baxter International IncBarbara A. Blodi - University of Wisconsin–MadisonMia Keeys - George Washington UniversityCara Joyce - Loyola University ChicagoJames C. Folk - University of Iowa
- Resource Type
- Journal article
- Publication Details
- NPJ digital medicine, Vol.7(1), 369
- DOI
- 10.1038/s41746-024-01389-x
- PMID
- 39702673
- PMCID
- PMC11659561
- NLM abbreviation
- NPJ Digit Med
- ISSN
- 2398-6352
- eISSN
- 2398-6352
- Publisher
- Nature Publishing Group UK
- Grant note
- Digital Diagnostics
- Language
- English
- Date published
- 12/19/2024
- Academic Unit
- Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984758267702771
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