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