Abstract Artificial Intelligence (AI) is increasingly influencing healthcare by improving diagnostic accuracy, treatment planning, and operational efficiency. This case report explores a real-world implementation of AI in a tertiary care hospital to support early detection of diabetic retinopathy. It discusses how AI tools were deployed, their impact on clinical workflow, and the outcomes observed. The report also examines broader implications of AI integration in healthcare systems, including benefits, limitations, and future prospects.
Libsekal Meron (2025) studied this question.
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