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

NCT06540001 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2024-08-06

No results posted yet for this study

Summary

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.

Conditions

  • Visual Impairment

Interventions

DEVICE

Automated visual acuity

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.

Sponsors & Collaborators

  • Singapore Institute of Technology

    collaborator OTHER

  • Nanyang Technological University

    collaborator OTHER

  • Lee Kong Chian School of Medicine, Nanyang Technological University

    collaborator UNKNOWN

  • Tan Tock Seng Hospital

    lead OTHER

Study Design

Allocation
NA
Purpose
SCREENING
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
21 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2024-10-31
Completion
2025-08-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06540001 on ClinicalTrials.gov