The diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care: a prospective validation study
Objectives:This study investigated the diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care, using ophthalmologist-led screening as the reference standard. Methods:Patients with type 2 diabetes attending routine appointments at 10 primary care clinics underwent AI-assisted screening, followed by re-screening at an ophthalmology clinic. The quality of fundus images captured in primary care was independently […]
Patient acceptance of AI-assisted diabetic retinopathy screening in primary care: findings from a questionnaire-based feasibility study
Aim: This feasibility study investigates patients’ acceptance of AI-assisted diabetic retinopathy screening (DRS) in primary care. Method: Patients with type 2 diabetes from 12 primary care settings in Denmark underwent AI-assisted DRS as part of routine diabetes care and completed a questionnaire covering demographics, recent DRS, general health, mental well being, trust in physician, competence in diabetes […]
Valuable insights into general practice staff’s experiences and perspectives on AI-assisted diabetic retinopathy screening—An interview study
AimThis study explores the hands-on experiences and perspectives of general practice staff regarding the feasibility of conducting artificial intelligence-assisted (AI-assisted) diabetic retinopathy screenings (DRS) in general practice settings. MethodThe screenings were tested in 12 general practices in the North Denmark Region and were conducted as part of daily care routines over ~4 weeks. Subsequently, 21 […]
Performance of a Support Vector Machine Learning Tool for Diagnosing Diabetic Retinopathy in Clinical Practice
PURPOSETo examine the real-world performance of a support vector machine learning software (RetinaLyze) in order to identify the possible presence of diabetic retinopathy (DR) in patients with diabetes via software implementation in clinical practice. METHODS1001 eyes from 1001 patients-one eye per patient-participating in the Danish National Screening Programme were included. Three independent ophthalmologists graded all […]
A health economic analysis
Cut costs and time DSI (now KORA), the Danish Institute of Health, and Signifikans, a CRO in statistical analysis, concluded that RetinaLyze could severely decrease the time and money spent on manual grading in societies. PurposeTo implement an operational economic evaluation of the Retinalyze software system used for the automated detection of the diabetic eye […]