Word count: 3500 words
Objectives to cover:
Introduction – Introduces the growing role of AI in diabetic retinopathy screening.
Background and Importance – Explains DR’s impact and the critical need for early detection.
Objectives and Scope – Defines the review’s purpose, scope, and key research aims.
Methodology Overview – Describes the systematic approach, databases searched, and criteria used.
AI Technologies in DR Screening – Highlights the types of AI, algorithms, and imaging modalities involved.
Diagnostic Performance – Evaluates sensitivity, specificity, AUC, and comparisons with human graders.
Clinical Integration – Discusses real-world use, healthcare system adoption, and practical challenges.
Ethical and Regulatory Aspects – Addresses privacy, fairness, and legal considerations in AI deployment.
Conclusion – Summarizes key insights, current gaps, and future directions for research and practice.
Reference: IEEE style