Systematic review reveals AI enhances screening accuracy for diabetic retinopathy in rural settings, indicating potential to improve healthcare access.
Key Points
AI-based systems provide high accuracy in detecting diabetic retinopathy, facilitating early interventions.
Studies on deep learning algorithms and machine learning models show promising results in resource-limited rural environments.
Challenges like ethical concerns and data privacy need to be addressed for successful implementation of AI technology.
This review emphasizes the necessity of integrating AI solutions into existing healthcare infrastructure in rural settings.