Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Determinants of the implementation of artificial intelligence-based screening for diabetic retinopathy—a cross-sectional study with general practitioners in Germany
17
Zitationen
4
Autoren
2023
Jahr
Abstract
These findings serve as a basis for a successful implementation of AI-assisted screening devices in PC and might facilitate early screenings for ophthalmological diseases in general practice. The most relevant barriers that need to be overcome for a successful implementation of such tools include clarification of the costs and reimbursement policies.
Ähnliche Arbeiten
Optical Coherence Tomography
1991 · 13.628 Zit.
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 · 7.317 Zit.
Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040
2014 · 6.790 Zit.
YOLOv3: An Incremental Improvement
2018 · 5.887 Zit.
Ranibizumab for Neovascular Age-Related Macular Degeneration
2006 · 5.829 Zit.