Development and Validation of an Automated Self-administered Visual Acuity System

ConditionVisual Impairment

Trial statusNot yet recruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

Age21-100

SponsorTan Tock Seng Hospital

About this trial

Visual acuity tests, commonly conducted in clinics and used for health screenings, are becoming more in demand due to an aging population. Current online self-eye check apps are limited as they don\'t accurately reflect true distance vision assessed in clinical settings. These tests, performed by trained personnel, are time-consuming and can cause delays in clinics. This project aims to develop an automated Visual Acuity (VA) station using AI technologies like speech-to-text and computer vision, hypothesizing that it can match the accuracy of manual assessments by clinic staff, thus potentially reducing waiting times and improving efficiency.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Patients age >21 and able to give consent

Patients who have at least counting finger vision

Patients who is able to speak in an audible and clear voice

Patients who is able to use a digital device independently (e.g. handphone)

Disqualifiers

Patients on wheelchair/ walking aids

Patients with hearing difficulties

Patients with speech difficulties

Patients who have cognitive impairment

Trial design

Design model

Single group

Treatments tested in this trial

Automated visual acuity
Device
The automated visual acuity device is developed in collaboration with Tan Tock Seng Hospital, Singapore Institute of Technology and Nanyang Technological University. It uses artificial intelligence for pose estimation and speech recognition to infer if the participant is reading the correct letters displayed on the screen.

Treatment groups

100 Participants

are divided into 1 treatment group

Group A: Patients will undergo both automated and manual visual acuity testingExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

Best corrected visual acuity with and without pinhole using Snellen letters and numbers

Best corrected visual acuity will be expressed in metres (e.g. 6/6-1), and will be converted to LogMAR for analysis.

Time frame

1 year

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Tan Tock Seng Hospital

Lead sponsor

Singapore Institute of Technology

Collaborator

Nanyang Technological University