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Updated: May 21, 2025

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An IoT-Enabled mHealth Sensing Approach for Remote Detection of Keratoconus Using Smartphone Technology.

Behnam Askarian1, Amin Askarian2, Fatemehsadat Tabei1,3

  • 1College of Engineering, West Texas A&M University, Canyon, TX 79016, USA.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
Summary

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This study presents a new smartphone tool for early keratoconus (KC) detection. The innovative system uses projected Placido discs and AI for accurate, accessible screening, improving eye care globally.

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Keratoconus (KC) is a progressive eye condition causing significant vision loss globally.
  • Current diagnostic tools are costly and inaccessible, particularly in underserved regions.
  • Early detection of KC is vital for timely intervention and management.

Purpose of the Study:

  • To introduce a novel, smartphone-based system for the early detection of keratoconus.
  • To develop an affordable and portable alternative to traditional diagnostic methods.
  • To enhance accessibility of eye care screening in resource-limited settings.

Main Methods:

  • Utilized a smartphone with a screen-projected Placido disc pattern.
  • Employed an advanced image processing framework for corneal irregularity analysis.
Keywords:
Placido disccorneal topographykeratoconus (KC)smartphonesupport vector machine (SVM)

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  • Implemented a machine learning classification model for diagnosing keratoconus.

    • Main Results:

    • Achieved high diagnostic performance with 96.08% sensitivity, 97.96% specificity, and 97% overall accuracy.
    • Demonstrated the system's reliability in identifying early signs of keratoconus.
    • Validated the effectiveness of the smartphone-based approach on a dedicated dataset.

    Conclusions:

    • The developed smartphone system offers a viable, cost-effective solution for early keratoconus detection.
    • This innovation significantly improves accessibility to crucial eye care services.
    • The technology has the potential to reduce the global impact of undiagnosed keratoconus.