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Diabetes can lead to severe complications, including diabetic retinopathy, which affects vision. Terry Quinn's personal experience highlights the emotional and physical toll of vision loss due to diabetes. The article explores how AI technology could revolutionize the screening process for diabetic eye disease, making it more accessible and efficient.
AI systems like those developed by Retmarker and Google Health are being tested to improve the accuracy and speed of diabetic retinopathy screenings. These technologies aim to reduce the burden on healthcare professionals while ensuring timely referrals for patients. The potential for AI to bridge health equity gaps is significant, especially in underserved regions.
• AI can enhance the efficiency of diabetic retinopathy screenings.
• AI systems are being tested for accuracy in detecting eye diseases.
Diabetic retinopathy is a diabetes complication that affects the eyes, leading to vision loss.
AI screening refers to the use of artificial intelligence to analyze medical images for disease detection.
Sensitivity measures a test's ability to correctly identify those with a disease, while specificity measures its ability to identify those without it.
Retmarker is a health technology company that develops AI systems for screening diabetic retinopathy.
Google Health conducts research on AI applications in healthcare, including diabetic retinopathy detection.
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