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Updated: May 24, 2025

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Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation.

D Srikanth, J Gurung, N S Deepika

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
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    An AI system provides instant feedback on smartphone eye images, improving teleophthalmology for conditions like blindness. This technology aims to enhance diagnostic accuracy and reduce delays in patient care, especially in underserved regions.

    Area of Science:

    • Ophthalmology
    • Artificial Intelligence
    • Medical Imaging

    Background:

    • Blindness and eye diseases pose a global health challenge, particularly in low- and middle-income countries.
    • Teleophthalmology and smartphone-based imaging (e.g., Grabi attachment) expanded during the COVID-19 pandemic.
    • Patient-captured eye images often lack sufficient clinical detail for accurate diagnosis, causing treatment delays.

    Purpose of the Study:

    • To develop and test an AI-based system for assessing the quality of patient-captured eye images.
    • To provide instant feedback mimicking clinical judgment to improve image usability.
    • To address a critical component of AI-driven teleophthalmology for enhanced eye care.

    Main Methods:

    • A hierarchical approach was used to address the complex problem of image quality assessment.

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  • The AI system was trained and tested on patient-captured eye images.
  • The system was designed to mimic the quality judgments of clinical experts.

    • Main Results:

    • The study demonstrates a proof of concept for an AI-based quality assessment system.
    • The system is capable of evaluating a non-trivial aspect of image quality.
    • The AI system provides instant feedback, a key feature for real-time clinical support.

    Conclusions:

    • AI-powered quality assessment can significantly enhance the utility of smartphone-based eye imaging in teleophthalmology.
    • Instant feedback systems can help overcome limitations of user-generated medical images.
    • This technology holds potential for improving eye care accessibility and efficiency, especially in resource-limited settings.