Advancements in early detection of diabetes and diabetic retinopathy screening using artificial intelligence
Source abstract
Abstract
This paper explores the synergy between early diabetes detection and artificial intelligence (AI)-based diabetic retinopathy screening. It emphasizes the crucial role of integration for enhancing patient care. Diabetes and its complications, such as diabetic retinopathy, can be better managed with early intervention. AI techniques are revolutionizing medical diagnostics, offering potential for accurate prediction of diabetes risk and automated analysis of retinal images for retinopathy detection. By combining these aspects, we uncover a comprehensive strategy that not only identifies diabetes in its early stages but also ensures timely management of its ocular complications. This integrated approach shows promise for personalized care, improved outcomes, and efficient resource utilization. This paper underscores the need for collaboration between medical and AI experts to maximize the potential of this dual-focused approach for transforming diabetes management.
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Research context
OpenAlex topics: Retinal Imaging and Analysis · Artificial Intelligence in Healthcare · Retinal Diseases and Treatments
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
ECE, Nehru Institute of Engineering and Technology 1 , Coimbatore, T,N, India
Agricultural Engineering, Nehru Institute of Technology 2 , Coimbatore, T,N, India
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Show source-provided references
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