{
  "id": 8401,
  "url": "https://doi.org/10.1001/jamanetworkopen.2018.2665",
  "title": "Evaluation of Artificial Intelligence–Based Grading of Diabetic Retinopathy in Primary Care",
  "summary": "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",
  "authors": "Yogesan Kanagasingam, Di Xiao, Janardhan Vignarajan, Amita Preetham, Mei‐Ling Tay‐Kearney, Ateev Mehrotra",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": "australia",
  "published_at": "2018-09-28T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:37.182Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8401",
  "original_url": "https://doi.org/10.1001/jamanetworkopen.2018.2665",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}