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Related Experiment Video

Updated: Aug 22, 2025

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Development and Validation of the First Smart TV-Based Visual Acuity Test: A Prospective Study.

Georgios Labiris1, Konstantinos Delibasis2, Eirini-Kanella Panagiotopoulou1

  • 1Department of Ophthalmology, University Hospital of Alexandroupolis, Dragana, 68100 Alexandroupolis, Greece.

Healthcare (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

A new smart TV visual acuity test (DDiVAT) enables reliable self-assessment for both normal and low vision. This telemedical tool demonstrated accuracy comparable to standard eye exams, offering a convenient home-based solution.

Keywords:
homesmart TVsmartphonetelemedicinevalidationvisual acuity test

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Area of Science:

  • Ophthalmology and Telemedicine
  • Digital Health Technology
  • Visual Acuity Assessment

Background:

  • Smartphones dominate telemedical applications, yet smart TV healthcare apps remain underdeveloped despite widespread home adoption.
  • This gap highlights a need for accessible, home-based diagnostic tools for visual health monitoring.

Purpose of the Study:

  • To develop and validate the Democritus Digital Visual Acuity Test (DDiVAT), the first smart TV-based application for reliable visual acuity self-assessment.
  • To evaluate DDiVAT's performance against gold-standard methods and assess its test-retest reliability for telemedical use.

Main Methods:

  • Prospective validation study involving 300 participants (normal and low vision).
  • DDiVAT features include automatic calibration, voice recognition/guidance, and automated VA index calculation.
  • Comparison of DDiVAT results (VADDiVAT) against ETDRS (VAETDRS) and an ophthalmologist (VARES) using noninferiority tests and intraclass correlation coefficients (ICCs).

Main Results:

  • Mean VA differences were significantly below the 2.5-letter noninferiority margin across all comparisons (VAETDRS-VARES, VARES-VADDiVAT, VAETDRS-VADDiVAT).
  • Excellent agreement was observed (ICCs: 0.922-0.996), with high test-retest reliability for DDiVAT (ICC: 0.957).
  • Voice recognition accuracy reached 96.01%.

Conclusions:

  • The DDiVAT system provides accurate visual acuity self-assessment comparable to the ETDRS standard.
  • DDiVAT is a viable tool for telemedical applications, suitable for both normal and low-vision individuals.
  • The developed technology enhances remote eye health monitoring capabilities.