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
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
Treatments tested in this trial
- Automated visual acuity
Treatment groups
100 Participants
are divided into 1 treatment groupLocations
Sponsors and collaborators
Tan Tock Seng Hospital
Lead sponsor
Singapore Institute of Technology
Collaborator
Nanyang Technological University
Collaborator
Source ClinicalTrials.gov