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Autonomous artificial intelligence (AI) can close health care gaps with point-of-care exams, obviating the need for a specialist. This session highlights the successful implementation of an autonomous AI diagnostic technology to test and diagnose diabetic retinopathy in a large state prison system. Participants will gain an understanding of the technology and its role in providing point-of-care diabetic retinal exams without the need for an eye-care specialist. Real-world data will be shared including lessons for successful adoption.

Educational Objectives

  • Describe how point-of-care autonomous AI systems for diabetic retinopathy work
  • Identify best practices for successful implementation of autonomous AI technology
  • Discuss potential benefits of AI technology for eye exams for diabetes