Evaluation of Artificial Intelligence–Based Grading of Diabetic Retinopathy in Primary Care
Importance: There has been wide interest in using artificial intelligence (AI)-based grading of retinal images to identify diabetic retinopathy, but such a system has never been deployed and evaluated in clinical practice. Objective: To describe the performance of an AI system for diabetic retinopathy deployed in a primary care practice. Design, Setting, and Participants: Diagnostic study of patients with diabetes seen at a primary care practice with 4 physicians in Western Australia between Dec
Record details
Published: 28 September 2018
Source: OpenAlex
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (28 September 2018), “Evaluation of Artificial Intelligence–Based Grading of Diabetic Retinopathy in Primary Care,” evidence record 8401, https://ethics.ai/record/8401 (originally published by OpenAlex).
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